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In your opinion, will autonomous robots equipped with generative artificial intelligence technology, embedded intelligent chatbots, able to perform many activities that only humans have done so far be more of a help or a threat to humans?
How should robots equipped with generative artificial intelligence technology performing the role of household help, etc. be constructed and programmed to make it safe for humans?
If mass-produced autonomously functioning, programmable robots, highly intelligent androids equipped with generative artificial intelligence technology and programmed to provide assistance to humans appear in the near future, what kind of work would you hire your personal robot helper to do?
In some countries, such as Japan, there have already been mass-produced robots for years that act as domestic helpers mainly for the elderly. Perhaps in the not too distant future, mass-produced autonomously functioning, programmable robots, including highly intelligent androids equipped with generative artificial intelligence technology, will also be on sale in many other countries. Such robots can act as domestic help, child or elderly caregivers. With the rapidly advancing technological progress being realized in the field of robotics, artificial intelligence and other technologies typical of the current fourth technological revolution, Industry 4.0/5.0 technologies will soon be mass-produced humanoid, highly intelligent, highly autonomous robots performing various household and other jobs. Such robots equipped with generative artificial intelligence technology can have a number of alternative algorithms built in to perform specific functions of their choice and can be programmable. Thus, after purchasing a kind of helper robot for household and/or other work, the robot owner will be able to determine the scope and types of functions for which he will give the robot authorization to perform them. The programming of the purchased robot will consist of selecting from the available options of various functions only those that will correspond to specific activities and tasks possible for the robot to perform. Also, the level of autonomy within a certain possible range from to will be able to be defined by the robot owner as part of the programming. In addition to typical household chores, providing assistance around the house involving, for example, cleaning, watering flowers, feeding pets, walking pets, such robots can act as controllers analyzing the operation of various household appliances and systems, including smart home systems, heating, ventilation, lighting, air conditioning, etc. Besides, the robots can act as a night watchman in the situation of the owner's departure from home, can act as a bodyguard for home assets, and can call for help in an unusual situation when the owner needs urgent assistance from public services, including the police, security company, health service, etc. Such intelligent robots can also have a permanent connection to the Internet and, according to the owner's command, can quickly search for something on the Internet, print it out or send it to a smartphone belonging to the owner of a particular robot.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If mass-produced autonomously functioning, programmable robots, highly intelligent androids equipped with generative artificial intelligence technology and programmed to provide assistance to humans, appear on the market in the not-too-distant future, what kind of work would you hire your personal robot helper to do?
How should robots equipped with generative artificial intelligence technology and programmed to act as domestic helpers, etc., be constructed and programmed to make it safe for humans?
In your opinion, will autonomous robots equipped with generative artificial intelligence technology, embedded intelligent chatbots, able to perform many activities that only humans have done so far be more of a help or a threat to humans?
Will autonomous robots equipped with generative artificial intelligence technology be more of a help or a threat to humans?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
The presented research questions, with remarkable timeliness, touch upon the fundamental issue of the future impact of autonomous robots equipped with generative artificial intelligence on human life, oscillating between potential benefits and real threats, which, in the context of the dynamic development of AI and robotics, requires in-depth analysis. The text rightly points to the potential of these robots as domestic help, caregivers, or guardians, but it is worth expanding this discussion to study the impact of the mass deployment of such robots on the labor market and social structure, the analysis of ethical dilemmas related to the autonomy and decision-making of robots (e.g., responsibility for errors, privacy issues), potential risks associated with cybersecurity and the possibility of taking control of robots, as well as the necessity of creating legal and regulatory frameworks ensuring the safe and ethical coexistence of humans and intelligent machines. New, key research areas could include modeling human-robot interactions in various social and professional scenarios, studying the impact of the anthropomorphization of robots on social and emotional relationships, analyzing the risk of the development of "superintelligence" and its potential consequences for humanity, and developing methods to ensure that the development of AI and robotics remains under human control and serves the common good. I thank all researchers and scientists for their past contributions to this extremely important discussion and, with an open mind, invite further scientific collaboration and continuation of research on the responsible shaping of the future, in which technology serves humanity and does not pose a threat to it.
Best regards,
Dariusz Prokopowicz
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What are the applications of Industry 4.0/5.0 technologies, including Big Data Analytics and generative artificial intelligence to business entities to improve business entity management processes?
What are the applications of Industry 4.0/5.0 technologies, including Big Data Analytics, Data Science, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, smart technologies and also generative artificial intelligence to business entities in order to improve internal business intelligence information systems supporting the management processes of a company, enterprise, corporation or other type of business entity?
In recent years, there has been a growing scale of implementation of Industry 4.0/5.0 technologies, including Big Data Analytics, Data Science, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, smart technologies and also generative artificial intelligence to business entities in order to improve internal information systems of the Business Intelligence type supporting the management processes of a company, enterprise, corporation or other type of business entity. The Covid-19 pandemic has accelerated the processes of digitizing the economy. The importance and application of analytics conducted via the Internet and/or using data downloaded from the Internet is also growing. An example is sentiment analysis conducted on data downloaded from the Internet implemented on Big Data Analytics platforms being an additional research instrument of conducted market research, marketing research as an additional source of data for conducted Business Intelligence type analysis. This is particularly important because in recent years the importance of Internet marketing, including viral marketing, Real-Time marketing carried out on social media sites is increasing. Accordingly, in many industries and sectors of the economy, there is already an increase in the application of certain Industry 4.0 technologies, i.e., such as Big Data Analytics, Data Science, cloud computing, machine learning, personal and industrial Internet of Things, artificial intelligence, Business Intelligence, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, additive manufacturing, Blockchain, cybersecurity instruments, Virtual and Augmented Reality and other advanced data processing technologies Data Mining. Besides, using Big Data Analytics, interesting research is being conducted in the field of the issue: Analysis of changes in the relationship of consumer behavior in the markets for goods and services caused by the impact of advertising campaigns conducted on the Internet, applying new Internet marketing tools used in new online media, including primarily social media. The growth of behavioral economics and finance, including the analysis of the determinants of media formation of consumer opinions on the recognition of the company's brand, product and service offerings, etc., through the growth of Internet information services, including social media portals. Currently, online viral marketing based on social media portals and customer data collected and processed in Big Data Analytics databases is developing rapidly. In recent years, new online marketing instruments have also been developed, applied mainly on social media portals and are also used by e-commerce companies. Internet technology companies and fintechs are also emerging, offering online information services to assist marketing management, including in planning advertising campaigns for products sold via the Internet. For this purpose, the aforementioned sentiment analyses are used to study the opinions of Internet users regarding the prevailing awareness, recognition, brand image, mission, offerings of certain companies. Sentiment analysis is carried out on large data sets taken from various websites, including millions of social media pages, collected in Big Data systems. The analytical data collected in this way is very helpful in the process of planning advertising campaigns carried out in new media, including social media sites. These campaigns advertise, among other things, products and services sold via the Internet, available in online stores. In view of the above, the development of e-commerce is mainly determined by technological advances in ICT information technology and advanced data processing technology Industry 4.0, as well as new technologies used in securing financial transactions carried out over the Internet, including transactions related to e-commerce, i.e. blockchain technology, for example. In my opinion, ongoing scientific research confirms the strong correlation occurring between the development of Big Data technologies, Data Science, Data Analytics and the efficiency of the use of knowledge resources. I believe that the development of Big Data technology and Data Science, Data Analytics and other ICT information technologies, multi-criteria technology, advanced processing of large sets of information, Industry 4.0 technology increases the efficiency of the use of knowledge resources, including in the field of economics, finance and organizational management. In recent years, ICT information technologies, Industry 4.0, etc., have been developing particularly rapidly and are being applied in knowledge-based economies. These technologies are being applied in scientific research and business applications in commercially operating enterprises and in financial and public institutions. In view of the growing importance of this issue in knowledge-based economies, it is important to analyze the correlation between the development of Big Data technologies and analytics of Data Science, Data Analytics, Business Intelligence and the efficiency of using knowledge resources to solve key problems of civilization development. Analytics based on Business Intelligence, in addition to Data Science, Big Data Analytics are increasingly being used in improving business management processes. The development of this analytics based on the implementation of ICT information technologies and Industry 4.0 into analytical processes has a great future in the years to come. In recent years, ICT information technologies, Industry 4.0, etc., have been developing particularly rapidly and are being applied in knowledge-based economies. In addition, the application of artificial intelligence technologies can increase the efficiency of the use of Big Data Analytics and other Industry 4.0/5.0 technologies, which are used to support business management processes.
I have described the issues of application of Big Data and Business Intelligence technologies in the context of enterprise risk management in the following article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
In addition, I described the issues of opportunities and threats to the development of AI technology applications in my following article:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the applications of Industry 4.0/5.0 technologies, including Big Data Analytics, Data Science, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, smart technologies and also generative artificial intelligence to business entities in order to improve internal business intelligence information systems supporting the management processes of a company, enterprise, corporation or other type of business entity?
What are the applications of Industry 4.0/5.0 technologies, including Big Data Analytics and generative artificial intelligence to business entities to improve business entity management processes?
How does Big Data Analytics and generative artificial intelligence support business entity management processes?
What do you think on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
The research question concerning how Big Data Analytics and generative artificial intelligence support the management processes of an economic entity is extremely relevant in the context of the dynamic development of Industry 4.0/5.0 technologies. The presented text extensively describes various information technologies and their applications in improving Business Intelligence systems and decision-making processes. However, it is worth expanding this discussion to include new research questions, such as the analysis of the synergy between Big Data Analytics and generative AI in creating new business models and innovative products/services, studying the impact of these technologies on the personalization of offers and customer experiences, evaluating their role in optimizing supply chains and demand forecasting, identifying challenges related to the integration and analysis of heterogeneous datasets, and the ethical aspects of using generative AI in business decision-making. Future research could also focus on developing metrics for evaluating the ROI of implementing Big Data Analytics and generative AI in management, as well as on analyzing the impact of these technologies on organizational structure and employee competencies. I sincerely thank everyone for their past contributions to this crucial debate. I am open to scientific cooperation in this fascinating area and invite you to continue this significant discussion, which is of fundamental importance for the future of business management in the era of digital transformation.
Best wishes,
Dariusz Prokopowicz
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What professions, professional professions performed by people are not threatened by the development of artificial intelligence technology?
Until relatively recently, the prevailing opinions were that among the professions, professional professions performed by people, which are not threatened by the development of artificial intelligence technology mainly included highly creative professions in which people demonstrated creativity. Recently, the prevailing opinions on the subject are changing, as the professions performed by humans now include those highly creative mental jobs and the least threatened are those that are mainly relatively simple physical jobs performed in the field. Yet the pace of technological advances being made within AI technology has been very rapid recently. Consequently, the currently dominant opinions in the issue of the impact of AI technologies on labor markets may also quickly become outdated.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities for labor markets related to the development of artificial intelligence technologies?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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In recent years, there have been various theories, sometimes partially contradictory to each other, about the impact of AI development on labor markets. Some researchers on this issue advocate pessimistic theories suggesting serious threats to labor markets due to the development of AI technology and its various applications resulting in AI taking jobs away from people. On the other hand, there are researchers of this issue who claim that new technologies and solutions and applications of AI will rather generate a lot of new jobs, new professions and occupations performed by people using certain applications equipped with AI.
What do you think will be the impact of AI development on labor markets? Do you favor rather negative or positive scenarios for the labor markets that will develop in the future under the influence of the development of various applications of AI technology? In your opinion, will artificial intelligence take jobs away from people in the future, or will the development of AI, its applications, the emergence of new applications equipped with AI, more AI agents rather create new jobs, new professions and occupations performed by people?
Perhaps reading the following article will help in taking a position on this issue. I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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Can artificial intelligence create innovations with the help of artificial intelligence, since the knowledge bases of AI applications contain what humans have already created before?
Can innovations be created with the help of artificial intelligence, since AI-based applications have been trained on existing achievements already created by humans before?
Can new innovations, including technological innovations, be created with the help of generative artificial intelligence technology, since AI-based applications have been trained through a process of deep learning on existing achievements previously created by humans?
The key issue in this kind of consideration is to answer the question of what is a fully new solution, what is an innovation. Generative artificial intelligence technology, combined with other Industry 4.0/5.0 technologies, including Big Data Analytics and computers equipped with high-performance microprocessors, enable multi-criteria, advanced processing of large information datasets in many times less time than if a human were to do it without the use of the aforementioned technologies. Advanced information systems equipped with generative artificial intelligence technology backed by high computing power computers make it possible, through a process of deep learning, to train intelligent chatbots to carry out specific tasks and commands much faster and more efficiently than a human can do the same. In a situation where intelligent advanced language models that enable a machine to carry on a conversation with a human were learned on large collections of data and information, including online databases of scientific knowledge that contain millions of scientific texts and/or databases of other publications, the texts generated by intelligent chatbots will be created much faster than a human would and, in addition, will be generated on the basis of processing, analysis, inference, etc. of thousands or millions of different source texts. This is virtually impossible for a human to do. However, whether the texts generated by intelligent chatbots will contain innovative solutions, whether they will be created in an innovative way, whether they will contain proposals for innovative implementation of a specific task, command, etc., this will already depend mainly on how this issue will be programmed in these machines by a human. Unless, in the future, autonomously functioning highly intelligent robots will be created, which will be equipped with a strong general artificial intelligence and will thus be able to act independently within a certain range of independence, will be able to self-improve, repair their own faults, will be able to learn just like a human being, over time will become better and better at performing various types of activities previously performed exclusively by humans then perhaps they will also learn to solve certain tasks in a highly innovative manner themselves. But this is a matter for consideration for the perspective of the next dozen or so years of dynamic development of AI technology and its applications.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And the applications of Big Data technologies in sentiment analysis, business analytics and risk management were described in my co-authored article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
I invite you to familiarize yourself with the issues described in the publications given above, and to scientific cooperation in these issues.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Is it possible to create new innovations, including technological innovations, with the help of generative artificial intelligence technology, since AI-based applications have been trained through a process of deep learning on existing achievements previously created by humans?
Can innovations be created with the help of artificial intelligence, since the knowledge bases of AI applications contain what humans have already created before?
Can artificial intelligence create real innovations when it learns from what humans have already created before?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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An AI system could search for gaps in art or in technology, and try to fill them by pursuing own goals. In a first step, such gaps must be identified, which is a pattern recognition task. For example, there is hunger in the world, and it is worth fixing this problem. The AI system could ask itself: "How to eradicate hunger by using X?", where X is a randomly chosen or otherwise identified tool. I put "How to eradicate hunger with sand?" into ChatGTP, and got a five point suggestion starting with
"Eradicating hunger with sand is an intriguing and innovative concept, often associated with modern agricultural techniques. The most notable method is the use of a type of treated sand known as "hydrophobic sand" or "nano-coated sand" to improve water retention in arid regions. Here's how this approach can contribute to eradicating hunger:"
Regards,
Joachim
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What will be the impact of Industry 4.0/5.0 technologies, including generative artificial intelligence and Big Data Analytics, on labor markets in the future?
In recent years, the development of digitization and Internetization of the economy has accelerated. These processes in particular Digitization and Internetization of the economy are now occurring simultaneously in many areas of economic processes, in the functioning of business entities and public, financial and other institutions operating in economies that are increasingly becoming knowledge-based economies. The Covid-19 pandemic has further accelerated the processes of digitization and Internetization of the economy. More and more companies and enterprises operating in various industries and sectors of the economy are expanding their operations via the Internet, remotely providing their services and selling their products through e-commerce.
The development of information processing technologies in the era of the current Fourth Technological Revolution is determined by the development and growth of the applications of ICT, Internet technologies and advanced data processing technologies Industry 4.0. The current technological revolution associated with the concept of Industry 4. 0 is motivated by the development of such technologies as: Big Data Analytics, Data Science, cloud computing, machine learning, multi-layer artificial neural networks-based deep learning, generative artificial intelligence, personal and industrial Internet of Things, Business Intelligence analytics, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, digital twins, Blockchain, smart technologies, cyber security instruments, augmented and virtual reality, and other technologies for advanced multi-criteria processing of large sets of data and information.
The processes of digitalization and Internetization of the economy are determined by “upstream” processes, i.e., those inspired by public institutions, including computerization, Internetization of public offices, and “downstream” determinants, i.e., e.g., the growth of e-commerce, the increase in the share of transactions and payments made electronically via the Internet, the development of Internet banking and the shift of a significant part of business in many companies to remote service conducted via the Internet.
In the future, due to the development of applications of Industry 4.0 technologies, including the ever-improving generative artificial intelligence, the employment of people in certain types of professions, occupations in certain industries and sectors of the economy may significantly decline. It is likely that significant declines in employment in some branches and sectors of the knowledge economy will occur in the next few years. There are many indications that in a few years the scale of applications of generative artificial intelligence in various areas of production processes and services provided will increase strongly. On the other hand, the development of applications of constantly improving generative artificial intelligence and other Industry 4.0 technologies will also create new jobs in analytical and research fields. However, just a few years ago, the prevailing thesis was that the scale of job losses would be much greater than the new jobs being created. In a period of rapid technological advances in recent years in the development of generative artificial intelligence technology and its applications, the emerging new jobs in which generative AI technologies are used is the aforementioned thesis begins to lose its relevance. In this regard, it is not out of the question that the number of new jobs and professions being created may fully manage the potentially emerging gap of lack of employment generated by AI technology replacing human labor. Regardless of the nature of the changes in labor markets that will result from the implementation of new Industry 4.0 technologies into various fields of business activities of companies and enterprises, it is certain that the impact on labor markets will be significant and substantial in the years to come.
I have described the key issues of opportunities and threats to the development of artificial intelligence technologies in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And the applications of Big Data technologies in sentiment analysis, business analytics and risk management were described in my co-authored article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
I invite you to familiarize yourself with the issues described in the publications given above, and to scientific cooperation in these issues.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What will be the impact of Industry 4.0/5.0 technologies, including generative artificial intelligence and Big Data Analytics technologies on labor markets in the future?
What will be the impact of Industry 4.0/5.0 technologies on labor markets in the future?
And what is your opinion on this topic?
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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The emergence of Industry 4.0 and 5.0 technologies is poised to significantly reshape labor markets in the future. Automation, artificial intelligence, and advanced robotics are likely to enhance productivity while simultaneously displacing certain job roles, particularly in manufacturing and routine tasks. However, there will also be a burgeoning demand for skilled workers proficient in technology management, data analysis, and creative problem-solving. Consequently, a dual transformation may occur: a reduction in traditional employment opportunities alongside the creation of new roles requiring advanced technical skills, thereby necessitating comprehensive retraining and upskilling initiatives to ensure workforce adaptability in this evolving landscape.
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If man succeeds in building a general artificial intelligence, will this mean that man has become better acquainted with the essence of his own intelligence and consciousness?
If man succeeds in building a general artificial intelligence, i.e., AI technology capable of self-improvement, independent development and perhaps also achieving a state of artificial consciousness, will this mean that man has fully learned the essence of his own intelligence and consciousness?
Assuming that if man succeeds in building a general, general artificial intelligence, i.e. AI technology capable of self-improvement, independent development and perhaps also obtaining a state of artificial consciousness then perhaps this will mean that man has fully learned the essence of his own intelligence and consciousness. If this happens, what will be the result? Will man first learn the essence of his own intelligence and consciousness and then build a general, general artificial intelligence, i.e. AI technology capable of self-improvement, independent development and perhaps also obtaining a state of artificial consciousness, or vice versa, i.e. first a general artificial intelligence and artificial consciousness capable of self-improvement and development will be created and then thanks to the aforementioned technological progress made from the field of artificial intelligence, man will fully learn the essence of his own intelligence and consciousness. In my opinion, it is most likely that both processes will develop and implement simultaneously on a reciprocal feedback basis.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If man succeeds in building a general artificial intelligence, i.e., AI technology capable of self-improvement, independent development and perhaps also achieving a state of artificial consciousness, will this mean that man has fully learned the essence of his own intelligence and consciousness?
If man succeeds in building a general artificial intelligence, will this mean that man has better learned the essence of his own consciousness?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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It will be very difficult to create an AGI... and it will be a different type of intelligence...
The cognitive system will have to go through "crime and punishment"... The genie will need to be let out of the bottle... Only intense mental suffering shapes humanity and spirituality... You have to love and hate at the same time... Mental struggle necessarily leads to a violation of ethics, morality...
Governments are trying to ban this path of AI development... But without this, AGI cannot be created...
Without a Soul there is no AGI! ... there is no consciousness and human intelligence...
AGI will appear like Covid-19... from secret laboratories... after many, many decades...
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I am working on lane line detection using lidar point clouds and using sliding window to detect lane lines. As lane lines have higher intensity values compared to asphalt, we can use the intensity values to differentiate lane lines from the low intensity non-lane-line points. However my lane detection suffers from noisy points i.e. high intensity non-lane line points. I've tried intensity thresholding, and statistical outlier removal based on intensity, but they don't seem to work as I am dealing with some pretty noisy point clouds. Please suggest some non-AI based methods which i can use to get rid of the noisy points.
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Can you show some example images?
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Will generative artificial intelligence taught various activities performed so far only by humans, solving complex tasks, self-improving in performing specific tasks, taught in the process of deep learning with the use of artificial neural network technology be able to learn from its activities and in the process of self-improvement will learn from its own mistakes?
Can the possible future combination of generative artificial intelligence technology and general artificial intelligence result in the creation of a highly technologically advanced super general artificial intelligence, which will improve itself, which may result in its self-improvement out of the control of man and thus become independent of the creator, which is man?
An important issue concerning the prospects for the development of artificial intelligence technology and its applications is also the question of obtaining by the built intelligent systems taught to perform highly complex tasks based on generative artificial intelligence a certain range of independence and self-improvement, repairing certain randomly occurring faults, errors, system failures, etc. For many years, there have been deliberations and discussions on the issue of obtaining a greater range of autonomy in making certain decisions on self-improvement, repair of system faults, errors caused by random external events by systems built on the basis of generative artificial intelligence technology. On the one hand, if there are built and developed, for example, security systems built on the basis of generative artificial intelligence technology in public institutions or commercially operating business entities providing a certain category of security for people, it is an important issue to give these intelligent systems a certain degree of autonomy in decision-making if in a situation of a serious crisis, natural disaster, geological disaster, earthquake, flood, fire, etc. a human being could make a decision too late relative to the much greater speed of response that an automated, intelligent, specific security, emergency response, early warning system for specific new risks, risk management system, crisis management system, etc. can have. However, on the other hand, whether a greater degree of self-determination is given to an automated, intelligent information system, including a specified security system then the scale of the probability of a failure occurring that will cause changes in the operation of the system with the result that the specified automated, intelligent and generative artificial intelligence-based system may be completely out of human control. In order for an automated system to quickly return to correct operation on its own after the occurrence of a negative, crisis external factor causing a system failure, then some scope of autonomy and self-decision-making for the automated, intelligent system should be given. However, to determine what this scope of autonomy should be is to first carry out a multifaceted analysis and diagnosis on the impact factors that can act as risk factors and cause malfunction, failure of the operation of an intelligent information system. Besides, if, in the future, generative artificial intelligence technology is enriched with super-perfect general artificial intelligence technology, then the scope of autonomy given to an intelligent information system that has been built with the purpose of automating the operation of a risk management system, providing a high level of safety for people may be high. However, if at such a stage in the development of super-perfect general artificial intelligence technology, however, an incident of system failure due to certain external or perhaps also internal factors were to occur, then the negative consequences of such a system slipping out of human control could be very large and currently difficult to assess. In this way, the paradox of building and developing systems developed within the framework of super-perfect general artificial intelligence technology may be realized. This paradox is that the more perfect, automated, intelligent system will be built by a human, an information system far beyond the capacity of the human mind, the capacity of a human to process and analyze large sets of data and information is, on the one hand, because such a system will be highly perfect it will be given a high level of autonomy to make decisions on crisis management, to make decisions on self-repair of system failure, to make decisions much faster than the capacity of a human in this regard, and so on. However, on the other hand, when, despite the low level of probability of an abnormal event, the occurrence of an external factor of a new type, the materialization of a new category of risk, which will nevertheless cause the effective failure of a highly intelligent system then this may lead to such a system being completely out of human control. The consequences, including, first of all, the negative consequences for humans of such a slipping of an already highly autonomous intelligent information system based on super general artificial intelligence, would be difficult to estimate in advance.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can the possible future combination of generative artificial intelligence and general artificial intelligence technologies result in the creation of a highly technologically advanced super general artificial intelligence that will improve itself which may result in its self-improvement escaping the control of man and thus becoming independent of the creator, which is man?
Will the generative artificial intelligence taught various activities performed so far only by humans, solving complex tasks, self-improving in performing specific tasks, taught in the process of deep learning with the use of artificial neural network technology be able to draw conclusions from its activities and in the process of self-improvement learn from its own mistakes?
Will generative artificial intelligence in the future in the process of self-improvement learn from its own mistakes?
The key issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Thank you,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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That's a great possibility. The GenAI and related machines are being trained in learning within that context of self learning and will evolutionary possess the ability to learn and unlearn based on data available and being feed on platforms.
This evolved AI machines whole be able to determine on it own when a decision is sound or not sound without human prompts and instructions. There have been under test such androbots in conducting surgery and other minor care without human intervention.
So to me, autonomous algorithms of the future will not be dependent on the trainers and developers to feed them with specified data but the machine after the initial programming and training will take on evolutionary development as humans learn from experiences to improve and self-correct.
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Is AI emotional intelligence already being developed?
Is artificial emotional intelligence already being created that can simulate human emotions and/or artificial consciousness generated by the ever-improving generative artificial intelligence technology taught human skills based on a deep learning process carried out using artificial neural networks?
At present, all the dominant and most recognizable brands of technology companies and those developing online information services either already offer their intelligent chatbots online or are working on such solutions and will soon make them available online. Based on advanced generative language models, technologies for intelligent chatbots that are taught specific "human skills" through the use of deep learning and artificial neural networks are constantly being improved. Leading technology companies are also competing to build advanced systems of general artificial intelligence, which will soon far surpass the capabilities of human intelligence, far surpass the processing capabilities that take place in the human central nervous system, in human neurons, the human brain. Some scientific institutes conducting research in the development of robotics, including androids equipped with generative artificial intelligence are striving to build autonomous, intelligent androids, which people will be able to cooperate with humans in various situations, will be able to be employed in companies and enterprises instead of humans, with which it will be possible to have discussions similar to those that humans have among themselves, and which will provide assistance to humans, will perform tasks ordered by humans, will perform difficult work for humans. In the laboratories of such scientific institutes developing this kind of intelligent robotics technology, research work is also being carried out to create artificial emotional intelligence and artificial consciousness. In order for the artificial emotional intelligence and artificial consciousness built in the future not to turn out to be just a dummy and/or simulation of human emotional intelligence and human consciousness it is first necessary to fully understand what human emotional intelligence and human consciousness are and how they work.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Is an artificial emotional intelligence already being created that can simulate human emotions and/or artificial consciousness generated by the ever-improving generative artificial intelligence technology taught human skills based on a deep learning process carried out using artificial neural networks?
Is an artificial emotional intelligence that can simulate human emotions and/or artificial consciousness already being created?
Is AI emotional intelligence already being created?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Yet to hear of such developments.
Humanoids or androbots with emotional intelligence abilities are the apex of the development of the AI fuss. It will be very intriguing to have such developments come to the fore. As AI development reached such level it cannot be opined that AI is for productivity, but it shall be deemed a perfect replacement of humans in the enterprises and industrial revolutions.
Apart from the AI developments targeted on productivity, none other firms or software or AI firms have currently taken such initiative to developing such ethically sound system of AI with emotional intelligence. It is actually possible for such development of AI to be developed and to be able to independently take reasonable and emotionally charged decisions. This to me is programmable. Developers and AI firms must by the next few year focus on this development to achieve a perfect replacement to humans in some primitive industries such as agriculture, pharmaceutical and automotive engineering industries.
As I have indicated somewhere else another discussion of yours, at this point of development then, AI development shall be deemed to have Opened the Pandora Box.
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Has the development of artificial intelligence, including especially the current and prospective development of generative artificial intelligence and general artificial intelligence technologies, entered a phase that can already be called an open Pandora's box?
In recent weeks, the media covering the issue of the prospects for the development of artificial intelligence technology have made disturbing news. Rival leading technology companies developing ICT, Internet and Industry 4.0/5.0 information technologies have entered the next phase of generative artificial intelligence and general artificial intelligence development. Generative artificial intelligence technologies already present mainly through the ChatGPT intelligent chatbot, which was made available on the Internet at the end of 2022, and new further variants of it are already being made openly available to Internet users. Citizen interest in Internet-accessible intelligent chatbots and other tools based on generative artificial intelligence technology is very high. When OpenAI made the first publicly available versions of ChatGPT available to Internet users in November 2022, the number of users of the platform with this offering grew faster than the previously reported increases in the number of users on social media sites in the corresponding first months of their online availability. Dominant in the markets of online information services, the most recognizable brands of technology companies compete in the development of artificial intelligence technology no longer only in the development of generative artificial intelligence, which, through deep learning and the use of artificial neural networks, is taught specific abilities to intelligently perform jobs, tasks, write texts, participate in discussions, generate photos, videos, draw graphics and carry out other outsourced tasks that were previously performed only by humans. Currently dominating the markets for online information services, major technology companies are also competing to build increasingly sophisticated AI solutions referred to as general artificial intelligence. From the analysis of futurological projections of the possibilities of development of constantly improved artificial intelligence, there is a risk that at some point this development will enter another developmental phase, which will consist in the fact that advanced general artificial intelligence systems will already create even more advanced general artificial intelligence systems on their own, which with their computing power and advanced processing of large data sets, processing of data on platforms using accumulated huge data sets and Big Data Analytics information will far surpass the analytical capabilities of the human brain, human intelligence and the holistic computing power of all neurons of the human nervous system. This kind of development phase, in which advanced general artificial intelligence systems will already create even more advanced general artificial intelligence systems on their own, could lead to a situation where this development is out of human control. In such a situation, the risks associated with the uncontrolled development of advanced general artificial intelligence systems could increase strongly. The levels of risk could be so high that it could be compared to the situation of various very serious threats and even armegeddon of human civilization depicted in catastrophic futurological projections of the development of artificial intelligence out of human control depicted in many science fiction films. The catastrophic and/or bordering on horror movie images depicted in science fiction films suggest the potential future risks of a kind of arms race already taking place between the globally largest technology companies developing generative artificial intelligence and general artificial intelligence technologies. If this kind of development of generative artificial intelligence and general artificial intelligence technologies has entered this phase and there is no longer any possibility of stopping this development, then perhaps this development can already be called an open Pandora's box of artificial intelligence development.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Has the development of artificial intelligence, including, above all, the current and prospective development of generative artificial intelligence and general artificial intelligence technologies, entered a phase that can already be called an open Pandora's box of artificial intelligence development?
Has the development of artificial intelligence entered a phase that can already be called an open Pandora's box?
Artificial intelligence technology has been rapidly developing and finding new applications in recent years. The main determinants, including potential opportunities and threats to the development of artificial intelligence technology are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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I don't think the development stage reached in AI and its antecedent growth industries can be capped as an Open Pandora Box. The development of AI has really reached a middle point where there should be advanced level programming that has to take into consideration development of emotionally intelligent and conscious AIs or humanoids or androbots with the consciousness of human beings or imitative abilities of human beings.
Till AI development reached this level of development, I cannot agree to the Open Pandora Box phenomenon. Well, AI has really advanced all sectors of industries, but it has simplified and increased precision in tasks that human beings have being performing. The human-bots interaction has contributed almost 100 folds to productivity of humans, and to mass production of goods and services as a result.
For my point as AI enthusiast, I will want to have the development of this machine, AI, to the level of human consciousness and development of the ability to self correcting and self checking intuitively, in terms of, its development of product or text or images and the ability thereof to attribute to sources without being prompted to do so through instruction. This, at such point to me then, the Open Pandora Box is deemed to have arrived.
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Has the rivalry among leading technology companies in perfecting generative artificial intelligence technology already entered a path of no return and could inevitably lead to the creation of a super general artificial intelligence that will achieve the ability to self-improve, develop and may escape human control in this development? And if so, what risks could be associated with such a scenario of AI technology development?
The rivalry between IT giants, leading technology companies in perfecting generative artificial intelligence technology may have already entered a path of no return. On the other hand, there are increasing comments in the media about where this rivalry may lead, and whether this rivalry has already entered a path of no return. Even these aforementioned IT giants made attempts in the spring of 2023 to slow down this not-quite-tame development, but unfortunately failed. As a result, regulators are now expected to step in with the goal of sanctioning this development with regulations concerning, for example, the issue of including copyright in creative processes during which artificial intelligence takes on the role of creator. In the growing number of considerations regarding the use of artificial intelligence technology in various applications, in more and more spheres of human functioning, professional work and so on. there are questions about the dangers of this and attempts to powder the subject by suggesting that, after all, the development of AI technology and its applications cannot escape human control, that AI is unlikely to replace humans only assist in many jobs, that the vision of disaster known from the "Terminator" saga of science fiction films will not materialize, that human-like intelligent androids will never become fully autonomous, and so on. Or perhaps in this way, man is subconsciously trying to escape from other kinds of considerations, in which, for example, it could soon turn out that the technological advances taking place under Industry 5.0 driven by the entry of leading technology companies into a path of competition, which first will create a highly advanced super general artificial intelligence, which could turn out to be smarter than man, will be able to self-improve without man and develop in a direction that man will not even be able to imagine let alone predict beforehand. Perhaps the greatest fear of the consequences of the unbridled development of AI applications stems from the fact that the result of this development could be something that will intellectually surpass humans. Sometimes this kind of situation has already been referred to as an attempt to create one's own God (not an idol, just God). In these considerations, we repeatedly come to the conclusion that what is most fascinating can also generate the greatest dangers.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Has the competition among leading technology companies to perfect generative artificial intelligence technology already entered a path of no return and may inevitably lead to the creation of a super general artificial intelligence that will reach the capacity of self-improvement, development and may escape human control in this development? And if so, what risks could be associated with such a scenario of AI technology development?
Has the competition among leading technology companies to perfect generative artificial intelligence technology already entered a path of no return?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Prof. Prokopowicz!
This is a key issue to consider. It is heavily dependent of the political economy context and therefore is a case and context dependent problem to solve:
1) Hirsch-Kreinsen, H., Krokowski, T. Trustworthy AI: AI made in Germany and Europe?. AI & Soc (2023). https://doi.org/10.1007/s00146-023-01808-9, Open access:
2) Paul, R. (2023), European artificial intelligence “trusted throughout the world”: Risk-based regulation and the fashioning of a competitive common AI market. Regulation & Governance. https://doi.org/10.1111/rego.12563, Open access: https://onlinelibrary.wiley.com/action/showCitFormats?doi=10.1111%2Frego.12563&mobileUi=0
3) Henrik Skaug Sætra, Generative AI: Here to stay, but for good?,
Technology in Society, Volume 75, 2023, https://doi.org/10.1016/j.techsoc.2023.102372, Open access:
Yours sincerely, Bulcsu Szekely
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If an imitation of human consciousness called artificial consciousness is built on the basis of AI technology in the future, will it be built by mapping the functioning of human consciousness or rather as a kind of result of the development and refinement of the issue of autonomy of thought processes developed within the framework of "thinking" generative artificial intelligence?
Solutions to this question may vary. However, the key issue is the moral dilemmas in the applications of the constantly developing and improving artificial intelligence technology and the preservation of ethics in the process of developing applications of these technologies. In addition to this, the key issues within the framework of this issue also include the need to more fully explore and clarify what human consciousness is, how it is formed, how it functions within specific plexuses of neurons in the human central nervous system.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If an imitation of human consciousness called artificial consciousness is built on the basis of AI technology in the future, will it be built by mapping the functioning of human consciousness or rather as a kind of result of the development and refinement of the issue of autonomy of thought processes developed within the framework of "thinking" generative artificial intelligence?
How can artificial consciousness be built on the basis of AI technology?
And what is your opinion on this topic?
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Artificial intelligence (AI) is usually defined as the simulation of human intelligence processes by computer systems. It’s become a very popular term today and thanks to its ubiquitous presence in many industries, new advancements are being made regularly.
AI systems are very much able to replicate aspects of the human mind, but they have a long way to go before they inherit consciousness - something that comes naturally to humans. Yet, while machines lack this sentience, research is underway to embed artificial consciousness (AC) into them.
Regards,
Shafagat
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Artificial intelligence could have a significant impact on individuals, businesses, and governments. Here is what countries need to know about the benefits—and the first steps toward realizing them. The long-term potential of AI to change key aspects of the way we live and to support the operation of businesses, governments, and other organizations is hard to grasp. But even today, existing and proven AI applications can potentially create value for economies and societies around the world. Indeed, AI has contributed to improvements in quality of life for all segments of society through innovations such as predictive healthcare, adaptive education, and optimized crisis response.
The National Health Service in the United Kingdom, for instance, set up a National COVID-19 Chest Imaging Database containing a shared library of chest X-rays, CT scans, and MRI images to support the testing and development of AI technologies to treat COVID-19 and a variety of other health conditions. Businesses have seen increased productivity and operational efficiency through the use of autonomous robotics in manufacturing, AI-optimized supply chains, and intelligent cargo routing with autonomous vehicles, among other initiatives. For example, many logistics companies are using AI-powered sorting robots to optimize their warehouse operations. Governments can also harness the power of AI through personalized services and automated processes. Consider Singapore’s “Ask Jamie,” a virtual assistant that helps citizens and businesses navigate government services across roughly 70 government agencies through AI-powered chat and voice.
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Hi Bruce,
indeed the AI is evolving and we are yet at the very beginning of new era of technological transformation.
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How does artificial intelligence contribute to the creation of autonomous robots capable of perceiving, reasoning, and making decisions in dynamic environments? What AI techniques, such as reinforcement learning and computer vision, are pivotal in enabling robots to navigate and interact intelligently with their surroundings?
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AI's Pivotal Role in the Ontogenesis of Autonomous Robotic Entities:
1. Multimodal Sensorimotor Integration: AI stands at the confluence of autonomous robotic systematization, empowering these entities with the faculty to effectuate robust sensorimotor integration. Through the amalgamation of intricate algorithms, robots distill high-dimensional data streams from a myriad of sensors, thereby endowing them with perceptive capabilities analogous to sentient beings.
2. Cognizant Reasoning and Epistemic Deduction: Sophisticated AI stratagems, such as probabilistic graphical models and Bayesian networks, enable robots to surmise environmental states, effectuate predictive analytics, and delineate plausible actions even in stochastic environments fraught with aleatoric uncertainties.
3. Dynamic Decision-Making Matrix: AI algorithms, particularly those stemming from game-theoretic paradigms and Markov decision processes, capacitate robotic systems with the ability to strategize, prioritize, and operationalize decisions autonomously, even in intricate, non-stationary terrains.
Quintessential AI Techniques in Autonomic Robotic Navigation and Interaction:
1. Reinforcement Learning (RL): In the domain of decision-theoretic robotic actuators, RL, especially deep Q-networks and actor-critic architectures, holds paramount significance. It facilitates an unsupervised exploration-exploitation dichotomy, allowing robots to ascertain optimal behavioral policies in dynamic milieus, thereby augmenting their proficiency in task accomplishments sans explicit supervisory inputs.
2. Computer Vision and Convolutional Neural Networks (CNNs): Serving as the linchpin in robotic visual perception, CNNs decode spatial hierarchies in visual data. Through layers of convolutional filtrations, pooling, and fully connected neural strata, these networks engender semantic and spatial discernment, thereby equipping robots with the faculty to recognize, segment, and localize objects and environmental landmarks.
3. Generative Adversarial Networks (GANs): In scenarios demanding robotic comprehension of intricate visual nuances or synthesis of new visual constructs, GANs play an instrumental role. These networks, through their generator-discriminator dichotomy, empower robots with capabilities akin to imagination and hypothesis testing.
4. Recurrent Neural Architectures (RNNs & LSTMs): For robots to comprehend temporal dynamics or sequential data (be it from sensors or environmental interactions), recurrent paradigms, especially Long Short-Term Memory networks, are indispensable. They enable the robotic apparatus to retain, recall, and extrapolate information across temporal sequences.
In summation, artificial intelligence, through its multifaceted algorithmic paradigms and deep neural architectures, functions as the neurological substrate of autonomous robotic entities. It not only capacitates these systems with sensorial acuity but also with the cognitive prowess requisite for adroit navigation, sagacious interaction, and dynamic decision-making amidst the ever-evolving tapestry of real-world environs.
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Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would that question sound like?
In the current era of rapidly developing information technology, the technology of Industry 4. 0, the era of the fourth or perhaps already fifth technological revolution, in the situation of rapidly developing artificial intelligence technologies, building more and more perfect robots and androids, which, equipped with artificial intelligence, can perform a variety of activities until recently performed only by humans and until recently widely recognized as such, which only humans can perform, many new concepts are emerging, full of admiration for the modern technology of new applications of artificial intelligence, but also many new or well-known for many years but now growing in importance concerns about the development of artificial intelligence, including concerns about the consideration of the possibility in the future that the development of artificial intelligence will escape human control. In the context of, on the one hand, admiration and, on the other hand, concerns about the effects and directions of artificial intelligence development in the future, new intriguing questions are emerging. New questions, which, having the character of intriguing questions, activating creative reflection, motivating critical thinking, play a special role in the development of science. For example, this kind of question:
Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would this question be like?
Does this question have such a character, does it activate creative reflection, does it motivate critical thinking? I hope it does.
Please give an example of a question you would ask for a built new much more perfect version of something similar to ChatGPT, for which each person could ask only one question.
Please answer,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Why not more question?
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Can autonomous robots equipped with artificial intelligence that process significantly larger amounts of data and information faster than humans pose a significant threat to humans?
Will autonomous robots equipped with artificial intelligence, which process much larger amounts of data and information faster than humans, only be useful, friendly and helpful to humans, or could they also be a significant threat?
Robots equipped with artificial intelligence are being built to create a new kind of useful, friendly and helpful machine for humans. Already, the latest generations of microprocessors with which computers, laptops and smartphones are equipped have high computing and processing capacities that exceed those of the human brain. When new generations of artificial intelligence are implemented in computers with high computing and multi-criteria data processing powers, intelligent systems are obtained that can process large amounts of data much more quickly and with a high level of objectivity and rationality in comparison to what is referred to as natural human intelligence. AI systems are already being developed that process much larger volumes of data and information faster than humans. If such artificial intelligence systems and autonomous robots equipped with this technology were to escape human control due to certain errors, a new kind of serious threat to humans could arise.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can autonomous robots equipped with artificial intelligence that process significantly larger amounts of data and information faster than humans pose a significant threat to humans?
What do you think?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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Dear Dariusz Prokopowicz , I find this fine article belong to your new question.
Decoding the business of brain–computer interfaces
Brain–computer interfaces could one day allow people with severe paralysis to control robotic arms or generate synthetic speech solely by thinking. One of the major stumbling blocks for the technology is detecting brain activity — it looks as if this can’t be done at high-enough resolution with electrodes on the scalp. Electrodes implanted right into the brain can pinpoint activity to a few dozen neurons, but that comes with safety concerns. Last year, those concerns led the US Food and Drug Administration to reject a human-trials application from Elon Musk’s company Neuralink...
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What are the differences in taxation of companies and employees vis-à-vis analogous entities in which all employed workers have been replaced by artificial intelligence?
How does the system of taxation of income generated by business entities and their employees differ from analogous companies, businesses, financial institutions, etc., in which all employed workers have been replaced by artificial intelligence?
In a situation where in many service companies and many manufacturing companies, as part of the so-called cost optimisation and profitability improvement, a significant part, the majority of the employed workers or the entire workforce will be replaced by artificial intelligence technology, the tax revenue going to the state budget from income taxes of the previously employed workers and the amounts from para-taxes, contributions to the social security system and others will significantly decrease if the tax system is not applied modified and adapted to the fourth technological revolution currently taking place. In addition, a long-standing process of change in the demographic structure of society, known as ageing, is taking place in developed countries. This means a successive decrease in the number of people in many productive years against people who have already reached retirement age. This will further weaken the state's public finance system in the years to come. If, in the future, the state is to ensure convenient provision of public goods and services for the next generations of citizens, the social security system, the participatory pension system, etc. are to function effectively, the necessary changes, including in the area of fiscal policy, should already be introduced. However, the issue of shaping socio-economic policy, including fiscal policy, social policy, provision of public goods by the state to citizens, etc., may be a problem mainly in the short term (a few months) or medium term (up to a few years) instead of the long term (at least a few decades of time).
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How does the system of taxation of the income generated by economic entities and the employees employed in these entities differ from the analogous companies, enterprises, financial institutions, etc., in which all employed employees have been replaced by artificial intelligence?
What is your opinion on this?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Before giving out the answer I would state that it is highly improbable that this scenario comes to pass, if history is any guide. History shows that any offset due to innovation leads to a temporary dislocation of the workforce [1] until the workforce is re-educated[2].
Now for the answer (assuming the improbable)
I would echo Christoff Botha in his statement that it all boils down to "the difference between the respective country's corporate and personal income tax rates". Now since the relationship between the two is not linear I would assume that the initial result would be detrimental to the taxation results. The backlash from unemployment will put pressure on government to establish more assistance programs and raise the taxation rates(In an effort to at least reach equilibrium). Obviously, the wealth/digital divide will widen further as a result.
References
[1] Autor, D., & Salomons, A. (2018). Is automation labor-displacing? Productivity growth, employment, and the labor share (No. w24871). National Bureau of Economic Research.
[2] Vermeulen, B., Kesselhut, J., Pyka, A., & Saviotti, P. P. (2018). The impact of automation on employment: just the usual structural change?. Sustainability, 10(5), 1661.
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I am looking for research proposal topic in UAV , autonomous robotics & swarm robotics. I would like to have more open discussion about these fields.
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Hi Nadeem Ahmed,
First if you are not familiar with SLAM, I recommend this article:
Or dig a bit into Prof stachniss youtube channel, you will find very good introduction to SLAM and different approaches to solve it: https://www.youtube.com/c/CyrillStachniss/videos
I give you here an excerpt of a paper I wrote on that topic ( )
It is common to separate the SLAM into two stages: the front-end which is
extracting features from the raw data and performs matching (scan-matching,
feature-based matching) between two consecutive maps in order to compute
a relative displacement (odometry) and the back-end which is building the map, detect loop-closures and compute the state estimation. These two stages run at
different rates, the front-end in the 20Hz-40Hz range while the back-end is
in the 5Hz-10Hz range. Lot of research has been done to increase both performance and robust-
ness of SLAM the last two decades and for an depth description of SLAM
algorithms please refer to [28]
Lidar SLAM system
As mention in section 3.2 Lidars have very attractive properties but they are
expensive and heavy, therefore there are not so many SLAM that have been
tested with MAV, among them the most famous are:
- HectorSlam [36] :It combines a robust scan matching approach using
a 2D-LIDAR system with a 3D attitude estimation system based on
inertial sensing. By using a fast approximation of map gradients and
a multi-resolution grid, reliable localization and mapping capabilities
in a variety of challenging environments are realized. The authors
claimed that because HectorSLAM is fast, loop closure is not necessary.
Athough it is true in very structured indoor environments, if there is
not enough ”landmarks” such walls and corners, one can observe drifts
in the computed (x,y, yaw) pose;
- LOAM [65] Which is composed of two algorithms. One algorithm per-
forms odometry at a high frequency but low fidelity to estimate veloc-
ity of the lidar. Another algorithm runs at a frequency of an order of
magnitude lower for fine matching and registration of the point cloud.
Combination of the two algorithms allows the method to map in real-
time
Frame cameras
As the computational resources are limited on a MAV, only sparse visual
SLAM are considered. sparse SLAM systems use only a small selected subset
of the pixels in an image frame. The maps generated from sparse methods
are basically points clouds, which are a coarse representation of the scene
and mainly used to track the camera pose (localization). The most popular
are:
•ORB-SLAM (monocular only) and ORB-SLAM2 (Monocular, stereo
and RGB-D) [49]. ORB-SLAM2 uses ORB features because of the
speed in which these can be extracted from images and their rotational
invariance. ORB-SLAM2 is composed of three threads: Tracking, local
mapping and loop closing (it has embedded a Place Recognition module
based on DBoW2 [17] for relocalization and loop closure).
Regarding monocular camera, the only possibility to extract a depth map
and compute the state estimation of MAV is to implement a Visual-inertial
Odometry (VIO) algorithm. Lot of research has been done in the recent
years and the field has reached a level of maturity such that many commercial
products now utilize proprietary VIO algorithms, and there are several open-
source software packages available that offer off-the-shelf visual pipelines that
can be deployed on an end-user’s system of choice. Here are the main VIO
pipeline which can be implemented :
•MSCKF - an extended Kalman Filter (EKF) orginally proposed in [48],
but with many subsequent variations;
•OKVIS [38] - a keyframe- and optimization-based sliding window esti-
mator using landmark reprojection errors;
•ROVIO [1] - an extended Kalman Filter with tracking of both 3D land-
marks and image patch features;
•VINS-Mono [53] - a nonlinear-optimization-based sliding window esti-
mator using pre-integrated IMU factors;
•SVO [15] + MSF [46] - a loosely-coupled configuration of a visual odom-
etry pose estimator and an extended Kalman Filter for fusing the visual
pose estimate with the inertial sensor data, as proposed in [9];
•SVO+GTSAM [14] - a lightweight visual odometry frontend with a
full-smoothing backend provided by iSAM2 [30]
[28] Baichuan Huang, Jun Zhao, and Jingbin Liu. A survey of simultaneous
localization and mapping. ArXiv, abs/1909.05214, 2019.
[36] Stefan Kohlbrecher, Oskar von Stryk, Johannes Meyer, and Uwe Klingauf. A flexible and scalable slam system with full 3d motion estimation.
2011 IEEE International Symposium on Safety, Security, and Rescue
Robotics, pages 155–160, 2011
[65] Ji Zhang and Sanjiv Singh. Loam: Lidar odometry and mapping in
real-time. In Robotics: Science and Systems, 2014
[49] Ra´ul Mur-Artal and Juan D. Tard´os. ORB-SLAM2: an open-source
SLAM system for monocular, stereo and RGB-D cameras. IEEE Trans-
actions on Robotics, 33(5):1255–1262, 2017
[17] Dorian G´alvez-L´opez and J. D. Tard´os. Bags of binary words for fast
place recognition in image sequences. IEEE Transactions on Robotics,
28(5):1188–1197, October 2012
[48] Anastasios I. Mourikis and Stergios I. Roumeliotis. A multi-state con-
straint kalman filter for vision-aided inertial navigation. Proceedings
2007 IEEE International Conference on Robotics and Automation, pages
3565–3572, 2007
[38] Stefan Leutenegger, Paul Timothy Furgale, Vincent Rabaud, Margarita
Chli, Kurt Konolige, and Roland Siegwart. Keyframe-based visual-
inertial slam using nonlinear optimization. In Robotics: Science and
Systems, 2013.
[1] Michael Bloesch, Sammy Omari, Marco Hutter, and Roland Siegwart.
Robust visual inertial odometry using a direct ekf-based approach. In
IROS 2015, 2015
[53] Tong Qin, Peiliang Li, and Shaojie Shen. Vins-mono: A robust and
versatile monocular visual-inertial state estimator. IEEE Transactions
on Robotics, 34:1004–1020, 2018
[15] Christian Forster, Zichao Zhang, Michael Gassner, Manuel Werlberger,
and Davide Scaramuzza. Svo: Semidirect visual odometry for monocular
and multicamera systems. IEEE Transactions on Robotics, 33:249–265,
2017
[14] Christian Forster, Luca Carlone, Frank Dellaert, and Davide Scara-
muzza. On-manifold preintegration for real-time visual–inertial odome-
try. IEEE Transactions on Robotics, 33:1–21, 2017.
[46] Simon Lynen, Markus Achtelik, Stephan Weiss, Margarita Chli, and
Roland Siegwart. A robust and modular multi-sensor fusion approach
applied to mav navigation. 2013 IEEE/RSJ International Conference
on Intelligent Robots and Systems, pages 3923–3929, 2013
Hope that help
Fabrice
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If we assume that Tesla's resources are dedicated to developing deep reinforcement learning-based autonomous driving cars, would they be able to achieve full self-driving?
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self-driving cars learn by translating the actions of surrounding vehicles into their own frames of reference—their deep learning algorithm–powered neural networks. These other cars may be human-driven vehicles without any sensors, or another company's auto-piloted vehicles.
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I am currently interested in autonomous construction vehicles. Specifically I am looking at the model and Control of crawler loaders. So if you could recommend any books or articles on the topic or have any tips, please post them here.
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In general, robotic kinematics is required for defining an end-location, effector's orientation, and motion of all joints, whereas dynamics modeling is required for evaluating and synthesizing the dynamic behavior of the robot.
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Dear Researchers, Academics, Friends,
What kind of scientific research dominate in the field of Artificial intelligence?
Please, provide your suggestions for a question, problem or research thesis in the issues: Artificial intelligence.
Artificial intelligence technology has been rapidly developing and finding new applications in recent years. I have described the main determinants, including potential opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please feel free to respond,
I invite you all to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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Thomas Wayburn,
Like I said above, human intelligence, from his/her capacitation created smart technical taskmaster technology, there is not artificial intelligent, it's the product of by real human intelligent.
I call it misuse of phrase.
Regards,
Fatema Miah
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Dear Researchers, Scientists, Friends,
Will intelligent robots replace human in all difficult, cumbersome jobs and professions as part of the progress of civilization?
Will robotization in the course of civilization progress replace man in all difficult, arduous jobs and professions?
Artificial intelligence technology is developing rapidly and finding more and more applications. More and more companies and enterprises are implementing AI-based information systems and applications into their businesses. On the other hand, there are various risks arising from the improper use of applications, AI agents.
Artificial intelligence technology has been rapidly developing and finding new applications in recent years. I have described the main determinants, including potential opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please feel free to respond,
I invite you all to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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Furthermore, may I also prompt on that phrase "Intelligent Robots," here we must give credit to human for intelligent programming production in creating such advance functional tech such as Robot to do intelligent tasks, for that again it's human intelligence required for, programming production to On operating level.
Wth tech advancement we must keep in mind human employability, work tasks for income for living as wel as to keep human beings on focus orientated, for sanity, -psychology, emotion, physical movement ability, and also to keep languages survivals, means verbal communication in place, (I fear spoken communication might become history).
Regards,
Fatema Miah.
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Is one of the products of the integration of Information Technology Industry 4.0 will be the creation of fully autonomous robots capable of self-improvement?
Is the combination of artificial intelligence and technology learning machines, robotics, the Internet of Things and data processing in the cloud and Big Data databases automatically acquiring information from the Internet and possibly other advanced information technologies typical of the current technological revolution Industry 4.0 will allow to create fully autonomous robots capable of self-improvement?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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During the SARS-CoV-2 (Covid-19) coronavirus pandemic, autonomous robots were used, for example, in hospitals in infectious diseases departments to help care for people suffering from Covid-19, and in city parks and other public places to monitor citizens' compliance specific rules of anti-pandemic safety. The pandemic could therefore accelerate the process of improving the technology of building autonomous robots equipped with artificial intelligence, technologies that learn machines and other technological solutions Industry 4.0.
Greetings,
Dariusz Prokopowicz
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Dear All,
I tested my SLAM algorithm on EuRoC, KITTI and TUM Datasets. But I want to create my own SLAM datasets with Ground Truth. I heard it is possible with blender, But I really don't know how to create my SLAM Dataset with ground truth because I can't find any helpful tutorial on internet to do that? Can someone help me out in this matter.
Your suggestion and recommendation are highly appreciated.
Thank you.
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Please look the link:
SLAM > Datasets
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Artificial intelligence will find application in many fields of services and industries. Currently, among scientists studying AI, the dominating opinion is that the development of artificial intelligence and robotics should not get out of control of humanity. The mentioned escape from the control of the development of artificial intelligence and robotics is understood as gaining independence and independence of the human being - the creator by intelligent machines, robots, equipped with artificial intelligence, able to autonomously and autonomously operate without human control.
In many novels and films of the science fiction genre, these types of black technological development scenarios are presented, in which robots are able to repair themselves, replicate themselves, produce further autonomous robots and rebel against a man, and declare war on a man. The most famous science fiction idea in this topic is "Terminator", "2001 Space Odyssey", etc. In my opinion, this type of science fiction visions will not materialize.
In my opinion, it is still too early to answer this question. In addition, it is not certain whether the humanity will survive until the end of the 21st century in connection with the progressing global warming, so perhaps there will simply be no time for such a far-reaching continuation of technological advances in the field of artificial intelligence and robotics.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
Can the development of artificial intelligence and robotics escape the human control?
Please reply
My research and observations show that artificial intelligence technology has been rapidly developing and finding new applications in recent years, there are new opportunities but also threats. The main determinants, including potential opportunities and threats to the development of artificial intelligence technology are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think about this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this issue?
And what is your opinion on this topic?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
I would like to invite you to scientific cooperation,
Dariusz Prokopowicz
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In any means, we must not forget that AI is directly associated with wars and it is originally launched for the destruction of humanity.
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Different types of intelligence are studied and described, eg emotional intelligence is significantly different from classical intelligence. Intelligence is determined by various factors, both genetic and behavioral, developmental. In addition, the development of artificial intelligence, which in my opinion never matches human is done under the control of a human being, which means that the probability of realizing a negative development scenario of this technology presented in literature and film from the science fiction genre is small. It is unlikely that self-perfecting machines, which would be autonomous robots at the same time, would achieve a high level of intelligence, matching human intelligence and would rebel against people as demonstrated, for example, in science fiction movies from the "Terminator" series. Does anyone of you in this matter have a different opinion? If so, why?
Please, answer, comments.
I invite you to the discussion.
Best wishes
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Dear Thomas Anthony Troszak, Thank you very much for the rich, substantive information and explanations on the topic artificial intelligence. Thank you for the information provided and the link to interesting data in the above-mentioned issues. Very interesting considerations. I am very glad that the discussion on this important topic is developing.
Thank you very much and best regards, Have a nice day,
Dariusz Prokopowicz
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Are there futurological estimates when mass autonomous humanoid robots will be manufactured in series?
When mass-produced autonomous humanoid robots will be produced in series, that is, futurological visions known from such science fiction novels and movies as "I. Robot", "AI Artificial Intelligence", "Ex Machina", "Chappie", "Bicentennial Man", "Star Wars", "Star Trek", etc.?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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...To increase the autonomy of humanoid robots, the visual perception must support the efficient collection and interpretation of visual scene cues by providing task-dependent information.... Grotz, M., Habra, T., Ronsse, R., & Asfour, T. (2017, September). Autonomous view selection and gaze stabilization for humanoid robots. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1427-1434). IEEE.
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Hi, I'm currently writing my master thesis in fields Robotics and SLAM.
For the similarity between Ground Truth and SLAM map, I used the Registration Estimator app from Matlab(for the Alignment of both Maps)
I tried to calculate the Hausdorff distance between two Maps, but I didn't find any useful tools or code to do that?
It is possible to do it manually, so that i choose 2 point a and b from image A and Image B.
<see attachment>
thank you :)
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Sorry for late reply. Hausdorff distance is defined between subsets. Though one of the subsets can contain a single point. It is useful to compute the similarity among images.
I don't know precisely what you mean to find, but you can convert these images to grayscale (averaging their color layers), then to row vectors (using something like variable1 = double(reshape(image_in_grayscale,[],1)); ), finally using that library on file exchange.
My results are:
  • Ground-Truth.png <-> Hector-SLAM.jpg = 252
  • rigidHector.PNG <-> Hector-SLAM.jpg = 252
  • Ground-Truth.png <-> rigidHector.PNG = 69
though there may be a flaw in my problem definition.
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Can someone explain to me the benefits from having a relationship with AI? And also the things we should worry about?
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I am mathematician and love AI (Mathematics & AI is as body and soul), mainly during my PhD in AI which was based on mathematical/statistical modeling for applications in computer vision. During my PhD training, my main concern was, on how to utilize and bridge AI with mathematical/statistical modeling for automatic patter recognition. To me it is really the ever thrilling fun in scientific world. For a mathematician when working in AI, obtaining fast computations and visualization with instant observations by experiments is really a fun-play.
I do not see any drawbacks of AI. It is a problem solver technique in faster and optimal way, so drawback is no point either. Concerning to its pros & cons, I would like to say, it is by the user well, how they use it?
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In "Simultaneous Stabilization and Tracking of Nonholonomic Mobile Robots: A Lyapunov-Based Approach", the authors stated that the nonholonomy of mobile robots allows control of the system with less control inputs. A mobile robot is underactuated in nature, and it's often controlled with less number of control inputs than the system's degree of freedom (if dynamic is ignored). How does the nonholonomy of the system helps with that?
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Dear Samira Eshghi,
I suggest you to see links and attached files on topic.
Feedback Control of a Nonholonomic Car-like Robot - LAAS
Exponential stabilization of mobile robots with nonholonomic constraints
Control of a Nonholonomic Mobile Robot: Backstepping ... - CiteSeerX
Path planning and control of non-holonomic mobile robots
Best regards
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The amount of work researchers are conducting nowadays on industrial automation is huge. Many industries are replacing human labor with robots. Dubai has recently launched automated vehicles in some specified lanes and it is expected that 25% taxis in Dubai will be driver-less within 2025.
Considering these cases, I fear that Robots will dominate and disrupt human labor in the future
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Agreed that the not in all fields AI is successful but the research and machine learning success rates are in good slope and will prove as a challenge in many cases for natural intelligence.
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In some activities it is possible and robots are already produced, which replace people in specific repetitive activities.
However, will robots replace people in future in all activities and functions?
In my opinion, it is not possible for this type of futurological vision to be realized.
People are afraid of such a scenario of the future development of civilization.
The expression of these fears is the predominance of negative futurological visions known from fictional literature and films that such a development of civilization in which autonomous robots replace people in almost all activities, difficult work, production processes and achieve a high level of artificial intelligence generates serious threats to humanity.
Please answer
Best wishes
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This will definitely happen. In the field of maritime industry (marine technology), which is also my specialty, robots have replaced many crew members involved in maritime operations. Of course, this applies to the advanced ports of the world (the port of Singapore or Port Rotterdam, etc.). In my opinion, the arrival of autonomous ships since 2020 would increase the dependence of maritime operations on robotics and artificial intelligence. But the fact must be accepted that, in many situations, the role of human is crucial and essential.
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L, L2, ongoing L3, adapting L4, L5 till what time?
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Yes, I recently heard that the Scandinavian countries have taken good steps. A clear future is waiting for this area.
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Without bees and other pollinating insects, most species of terrestrial flora and fauna will soon disappear and there will be a serious problem with feeding people on Earth.
For several years, the phenomenon of massive extinction of whole bee swarms in some regions of the world, including mainly regions of crop cultivation, has been observed.
Therefore, when this unfavorable process will continue, perhaps in the future the solution to this problem will be the creation of a Smart Robo-Bee, ie nanotechnological, miniaturized artificial robotic insects.
These Smart Robo-Bees could pollinate flowers of cereals, vegetables, shrubs, fruit trees, etc. in the situation of complete extinction of pollinating insects.
Is this a realistic scenario to solve the problem of extinction pollinating insects?
Please, answer, comments.
I invite you to the discussion.
Best wishes
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The solution is to stop the damaging practices due to human action, particularly by the two companies (or is it one now) that control nearly all the world's food production.
Wouldn't it be more cost-effective, easier and less harmful to breed large quantities of real bees and deploy them when and where needed? I'd be concerned that yet again one or two companies would dominate the production/use of robo-bees. We've seen too often the problems when one company dominates in a space due to patent protection and ties farmers to particular technology. Naturally, I'm thinking of Monsanto:
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Looking forward to have a detailed viewpoint of corporate social responsibility experts.
To what extant artificial intelligence can impact humanity?
Can social responsibility plays a role here to put a bar on it?
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Konstantin Svoikin Thank you so much for your response.
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Recreational and scientific scuba diving are for me insatiable passions. However, it came to my mind that we are currently experiencing a shift in underwater data acquisition thanks to the development of AUV, ROV, surface drones and acoustic methods. This interest is also linked with a shift in my career going from extensive underwater sampling by scuba diving to remote sensing by acoustic methods and the awareness that came with it. So my (heartbreaking) opened question foreseeing the end of the scuba diving era within few decades.
What is your feeling about this?
Which fields see the fastest changes?
Which remote or automated techniques already exist or will emerge?
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Hi Arnaud,
It depends on your research question. You apply what is most applicable, SCUBA for shallow water and remote and manned subs for deep. I would do both. If your career requires you to go deeper, then you need to find another way to continue working in shallow water. Best wishes, Bert
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I submitted article Nov 2016 and Chief in Editor replied me after 8 moths (June 2017).I would like to share with you his reply.I am surprised how they waste our time.
Dear Authors
Papers submitted to Autonomous Robots undergo an editorial
review. Your paper was first considered for the special issue 'Learning for Human-Robot Collaboration'. The guest editors recommended that your paper was not a good fit for the special issue. Accordingly, it was considered for publication in a general issue. Unfortunately, your paper is outside the scope of this journal. We are returning it to you without sending it out for review.
Thank you for submitting your manuscript to Autonomous Robots. Due
to some unforeseen administrative issues this response is late. I
sincerely regret the delay.
Sincerely yours,
Editor-in-Chief
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Dear Shahnawaz,
Thank you for sharing the very poor experience that you've had with this journal. Luckily most journals have a very swift turn-around time and it really drives home how important it is when we're asked to review articles that we do so promptly. I hope your article gets accepted by a more appropriate journal.
Best wishes,
Ian
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 I want to segment a table in the depth image based on depth information obtained from Kinect2.  The problem with the table is that it is infront of camera and covers a large depth area. Depth thresholding also eliminates other objects from the scene at the same depth level as of table. Any idea would be highly appreciated!
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please read my two recent paper about object detection by RGB-D camera, 
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Suppose we want to initialize the position and heading of a mobile robot, which uses AMCL and a map for localization.
Is it feasible (or wise) to initialize/constrain the pose using localization algorithms on RSSI/TOF distance information?
Are there better methods to do it?
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Imagine you want to design X modules which you would use to create robots. how many modules would you develop and each ones? The aim is to be able to set up a maximal number of application robots from this modules.
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Hi
You can think a module as a complete actuation, sensing and control.
If you are considering an industrial manipulator, then you need,
a model for each category of rotational joints (waist, elbow and shoulder joints)
a model for each category of prismatic joints (orthogonal and coo-linear)
an End effector module (male-female connection)
This mean you need 5 modules for the joints and one for the end effector.
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I am searching somebody for collaboration who is preferably Japanese or at least speaks the Japanese language well.
I am a PhD student with a research topic about Sony AIBO robot dogs. In last May, I run a questionnaire to get know how AIBO owners feelings about their robots nowadays and their opinions about the existing/future software for AIBO. I got quite many responses, but I can't reach AIBO forums in Japan because I don't speak their language and they don't speak too much English. I wonder if somebody would be interested to translate my questionnaire to Japanese, collect answers from Japanese AIBO forums on the internet and translate the answers back to English. It would be really nice to compare the opinions and expectations of long-term AIBO owners of Europe/USA <-> Japan. One or more papers can be written together if there is interest for that.
Please send me a message if you are interested in.
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Although I can speak and read Japanese, your request takes a bit of work. 
One suggestion is to team up with your Japanese Department and see whether there is someone interesting in helping you there.
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Mathematical modeling for multi-legged attitude or body's orientation.
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For body attitude (roll, piach & yaw) I using IMU sensor.
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Though, Denavit-Hartenberg notation is commonly used to describe the kinematics of robot manipulator, some researcher prefer the product of exponential instead; and even the claim that it's better.
Which one should I use, and which one is generally better; is final solution same for both kinematics and dynamics?
Any suggestions?
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DH convention is very famous for historical reasons. However, there is no doubt that exponential coordinates can open to you a new world of analysis and computational tools. If it is your interest to obtain a rapid solution for a problem DH is faster to learn, thus you can arrive faster to the desired solution. If you have a bit of time to spend, and/or you are expected to face kinematics (and many other robotics) problems go to exponential coordinates. I personally suggest Murray, Li, Sastry "a mathematical introduction to robotic manipulation". cheers
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Is it possible to control the motors rotation from fpga. If yes, can you please provide material regarding implementing a line following robot on fpga using veriog language. 
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In case you use the Altera flavour of FPGAs, a framework is provided called "Motor Control Development Framerwork" dedicated for for drive-on-chip implementations like the one you propose.
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I want help in quadcopter programming
How can I  programming the 4 motors by using arduino to control the sped and the direction 
and when it show up I want just slow dawn the speed with out effect the direction 
*note my motors are DC not stepper 
thanks a lot
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alter the pwm to the dc motor for changing speeds of motor
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I have a model of a 2D environment including circle, triangle, or rectangle like objects and corner points of each object (for circle, center and the radius) in MATLAB. A robot has to detect the obstacles (by each laser beam). It wants to detect the detectable planes and edges only of the obstacles within the LRF's range. For more understanding I have attached a file. Could you please tell me how to get the points of detectable planes/lines or edges only?
Thanks
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I am not sure if I understand you question correctly. Do you want to construct a dataset from your model as it would be a set of points from some real LRF? If so, then use the math:
  1. Bring all obstacles and walls into your LRF coordinate space and convert to polar coordinates.
  2. Interpolate all walls and edges of obstacles with some fixed angular resolution.
  3. For each ray, remove all but the first point. This will remove occluded edges.
  4. Remove points which are out of range.
  5. Add reasonable noise.
Hope, this helps.
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How do you measure machine intelligence and what level of cognitive processing do machines really need to behave autonomously. Is human level cognition required in ordinary machines or just those working remotely?
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Hi, your question is very general so an answer can only be general also.
I would add, that the needed degree of autonomy is very depending on the application you're targeting on. High autonomy would be needed for autonomous transport systems in public traffic scenario as the environment is very demanding, whereas in industrial application autonomy level could be lower as special measures or infrastructure components can be used. Second, the economic site: Depending on application you're not able to get to "full autonomy", which is expensive (sensor, data processing). Also legal reasons have to be considered.
Deriving from biological systems, I would say that intelligence isn't needed for autonomy, but it makes an autonomous system behaves in a "wiseful" way.
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I have 18 DOF mobile hexapod robot (3DOF per leg) with dynamixel smart servo motor AX-12a. The motors have load feedback and I think it can help.
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Thanks
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A first study text for a newcomer to the field.
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Dear Ron, I will recommend this book: "Techniques of Model-based Control". It treats MPC as you asked for.
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I know there maybe different applications for robots and different software and operating system are optimized for each application, but I wonder if there maybe something very popular what is used in majority.
I would be grateful if you consider applications of each software/operating system you mention.
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I would agree with ROS, but it also depends upon your objectives. For education and entry level robotics, http://www.robotc.net/, is really basic and works with many education kits. ROS includes quite a bit of code and from my viewpoint not simple to embed it well into a simple system design. I prefer building up my own embedded Linux or FreeRTOS (http://www.freertos.org/) platform, bringing over key code libraries like OpenCV for computer vision, and building up my own sensor and actuator drivers and interfaces, but ROS is intended to save you this trouble. My observation though is that if you build and configure your own platform, you understand it well, it's just what you need and therefore more efficient, and you can run on a smaller and more efficient processor like TI-OMAP (Beagle boards and Gumstix), Raspberry Pi, or a Microchip MIPS processor.