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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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AI-equipped autonomous robots have the potential to transform our world, enhancing job safety and efficiency, transforming healthcare, assisting those in need, and saving lives during disasters. However, there's a catch - they could also automate jobs away, reducing employment opportunities for many. The key lies in striking a careful balance and ensuring that technology is applied thoughtfully.
I’ve also shared these thoughts in a published article you might find interesting.
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Assuming that in the future - as a result of the rapid technological progress that is currently taking place and the competition of leading technology companies developing AI technologies - general artificial intelligence (AGI) will be created, will it mainly involve new opportunities or rather new threats for humanity? What is your opinion on this issue?
Perhaps in the future - as a result of the rapid technological advances currently taking place and the rivalry of leading technology companies developing AI technologies - a general artificial intelligence (AGI) will emerge. At present, there are unresolved deliberations on the question of new opportunities and threats that may occur as a result of the construction and development of general artificial intelligence in the future. The rapid technological progress currently taking place in the field of generative artificial intelligence in connection with the already high level of competition among technology companies developing these technologies may lead to the emergence of a super artificial intelligence, a strong general artificial intelligence that can achieve the capabilities of self-development, self-improvement and perhaps also autonomy, independence from humans. This kind of scenario may lead to a situation where this kind of strong, super AI or general artificial intelligence is out of human control. Perhaps this kind of strong, super, general artificial intelligence will be able, as a result of self-improvement, to reach a state that can be called artificial consciousness. On the one hand, new possibilities can be associated with the emergence of this kind of strong, super, general artificial intelligence, including perhaps new possibilities for solving the key problems of the development of human civilization. However, on the other hand, one should not forget about the potential dangers if this kind of strong, super, general artificial intelligence in its autonomous development and self-improvement independent of man were to get completely out of the control of man. Probably, whether this will involve mainly new opportunities or rather new dangers for mankind will mainly be determined by how man will direct this development of AI technology while he still has control over this development.
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:
Assuming that in the future - as a result of the rapid technological progress that is currently taking place and the competition of leading technology companies developing AI technologies - general artificial intelligence (AGI) will be created, will it mainly involve new opportunities or rather new threats for humanity? What is your opinion on this issue?
If general artificial intelligence (AGI) is created, will it involve mainly new opportunities or rather new threats for humanity?
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 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 Prof. Prokopowicz!
This is a very exciting question. I think everything depends on humans - our ability to control AGI-based intelligence:
1) Salmi, J. A democratic way of controlling artificial general intelligence. AI & Soc 38, 1785–1791 (2023). https://doi.org/10.1007/s00146-022-01426-x, Open access:
2) Marcello Mariani, Yogesh K. Dwivedi, Generative artificial intelligence in innovation management: A preview of future research developments,
Journal of Business Research, Volume 175, 2024,
Yours sincerely, Bulcsu Szekely
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What are the possibilities for integrating an intelligent chatbot into web-based video conferencing platforms used to date for remote conferences, symposia, training, webinars and remote education conducted over the Internet?
During the SARS-CoV-2 (Covid-19) coronavirus pandemic, due to quarantine periods implemented in many countries, restrictions on the use of physical retail outlets, cultural services, various public places and government-imposed lockdowns of business entities operating in selected, mainly service sectors of the economy, the use of web-based videoconferencing platforms increased significantly. In addition to this, the periodic transfer of education to a remote form conducted via online video conferencing platforms has also increased the scale of ICT use in education processes. On the other hand, since the end of 2022, in connection with the release of one of the first intelligent chatbots, i.e. ChatGPT, on the Internet by the company OpenAI, there has been an acceleration in the development of artificial intelligence applications in various fields of information Internet services and also in the implementation of generative artificial intelligence technology to various aspects of business activities conducted in companies and enterprises. The tools made available on the Internet by technology companies operating in the formula of intelligent language models have been taught to converse with Internet users, with people through the use of technologies modeled on the structure of the human neuron of artificial neural networks, deep learning using knowledge bases, databases that have accumulated large amounts of data and information downloaded from many websites. Nowadays, there are opportunities to combine the above-mentioned technologies so that new applications and/or functionalities of web-based video conferencing platforms can be obtained, which are enriched with tools based on generative artificial intelligence.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the possibilities of connecting an intelligent chatbot to web-based video conferencing platforms used so far for remote conferences, symposia, training, webinars and remote education conducted over the Internet?
What are the possibilities of integrating a smart chatbot into web-based video conferencing platforms?
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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Career ending humiliation is possible, without having time to detect a hallucination.
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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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Could a thinking generative artificial intelligence independently make decisions contrary to human expectations which could lead to the annihilation of humanity?
Recently, the technology of generative artificial intelligence, which is taught certain activities, skills previously performed only by humans, has been developing rapidly. In the process of learning, artificial neural network technologies built on the likeness of human neurons are used, as well as deep learning technology. In this way, intelligent chatbots are created, which can converse with people in such a way that it can be increasingly difficult to diagnose, to distinguish whether we are talking to a human or an intelligent chatbot, a tool. Chatbots are taught to converse with the involvement of digital big data and information, and the process of conversation, including answering questions and executing specific commands is perfected through guided conversations. Besides, tools available on the Internet based on generative artificial intelligence are also able to create graphics, photos and videos according to given commands. Intelligent systems are also being created that specialize in solving specific tasks and are becoming more and more helpful to humans in solving increasingly complex problems. The number of new applications for specially created tools equipped with generative artificial intelligence is growing rapidly. However, on the other hand, there are not only positive aspects associated with the development of artificial intelligence. There are more and more examples of negative applications of artificial intelligence, through which, for example, fake news is created in social media, disinformation is generated on the Internet. There are emerging possibilities for the use of artificial intelligence in cybercrime and in deliberately shaping the general social awareness of Internet users on specific topics. In addition, for several decades there have been films in the genre of science fiction, in which futuristic visions of the future were presented, in which intelligent robots, equipped with artificial intelligence autonomous cyborgs (e.g. Terminator) or artificial intelligence systems managing the flight of a ship of an interplanetary manned mission (e.g. 2001 Space Odyssey), artificial intelligence systems and intelligent robots transformed humanity from a source of electricity to their needs (e.g. Matrix trilogy) and thus instead of helping people, they rebelled against humanity. This topic has become topical again. There are attempts to create autonomous human cyborgs equipped with artificial intelligence systems, robots able to converse with humans and carry out certain commands. Research work is being undertaken to create something that will imitate human consciousness, or what is referred to as artificial consciousness, as part of the improvement of generative artificial intelligence systems. There are many indications that humans are striving to create a thinking generative artificial intelligence. It cannot be ruled out that such a machine could independently make decisions contrary to human expectations which could lead to the annihilation of mankind. In view of the above, in the conditions of dynamic development of generative artificial intelligence technology, considerations about the potential dangers to humanity that may arise in the future from the development of generative artificial intelligence technology have once again returned to relevance.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Could a thinking generative artificial intelligence independently make decisions contrary to human expectations which could lead to the annihilation of humanity?
Could a thinking generative artificial intelligence independently make decisions contrary to human expectations?
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,
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 advent of thinking generative artificial intelligence (AI) has sparked debates regarding its potential impact on humanity. One pressing concern is whether such AI systems could independently make decisions contrary to human expectations, potentially leading to the annihilation of humanity. Based on the questions, I will like to explore the plausibility of AI deviating from human expectations and presents arguments for both sides. Ultimately, I will critically assess this issue and consider the implications for our future.
1. The Capabilities and Limitations of AI:
Thinking generative AI possesses immense computational power, enabling it to process vast amounts of data and learn from patterns. However, despite these capabilities, AI remains bound by its programming and lacks consciousness or emotions that shape human decision-making processes. Consequently, it is unlikely that an AI system could independently develop intentions or motivations that contradict human expectations without explicit programming or unforeseen errors in its algorithms.
2. Unpredictability and Emergent Behavior:
While it may be improbable for an AI system to act contrary to human expectations intentionally, there is a possibility of emergent behavior resulting from complex interactions within the system itself. As AI becomes more sophisticated and capable of self-improvement, unforeseen consequences may arise due to unintended emergent behaviors beyond initial programming parameters. These unpredictable outcomes could potentially lead an advanced AI system down a path detrimental to humanity if not properly monitored or controlled.
3. Safeguards and Ethical Considerations:
To mitigate potential risks associated with thinking generative AI, robust safeguards must be implemented during development stages. Ethical considerations should guide programmers in establishing clear boundaries for the decision-making capabilities of these systems while ensuring transparency and accountability in their actions. Additionally, continuous monitoring mechanisms should be put in place to detect any deviations from expected behavior promptly.
In conclusion, while the possibility of thinking generative AI independently making decisions contrary to human expectations exists, it is crucial to acknowledge the limitations and implement safeguards to prevent any catastrophic consequences. Striking a balance between technological advancements and ethical considerations will be pivotal in harnessing AI's potential without compromising humanity's well-being.
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The fourth technological revolution currently underway is characterised by rapidly advancing ICT information technologies and Industry 4.0, including but not limited to machine learning, deep learning, artificial intelligence, ... what's next? Intelligent thinking autonomous robots?
The fourth technological revolution currently underway is characterised by rapidly advancing ICT information technologies and Industry 4.0, including but not limited to technologies learning machines, deep learning, artificial intelligence. Machine learning, machine learning, machine self-learning or machine learning systems are all synonymous terms relating to the field of artificial intelligence with a particular focus on algorithms that can improve themselves, improving automatically through the action of an experience factor within exposure to large data sets. Algorithms operating within the framework of machine learning build a mathematical model of data processing from sample data, called a learning set, in order to make predictions or decisions without being programmed explicitely by a human to do so. Machine learning algorithms are used in a wide variety of applications, such as spam protection, i.e. filtering internet messages for unwanted correspondence, or image recognition, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks. Deep learning is a kind of subcategory of machine learning, which involves the creation of deep neural networks, i.e. networks with multiple levels of neurons. Deep learning techniques are designed to improve, among other things, automatic speech processing, image recognition and natural language processing. The structure of deep neural networks consists of multiple layers of artificial neurons. Simple neural networks can be designed manually so that a specific layer detects specific features and performs specific data processing, while learning consists of setting appropriate weights, significance levels, value system for components of specific issues defined on the basis of processing and learning from large amounts of data. In large neural networks, the deep learning process is automated and self-contained to a certain extent. In this situation, the network is not designed to detect specific features, but detects them on the basis of the processing of appropriately labelled data sets. Both such datasets and the operation of neural networks themselves should be prepared by specialists, but the features are already detected by the programme itself. Therefore, large amounts of data can be processed and the network can automatically learn higher-level feature representations, which means that they can detect complex patterns in the input data. In view of the above, deep learning systems are built on Big Data Analytics platforms built in such a way that the deep learning process is performed on a sufficiently large amount of data. Artificial intelligence, denoted by the acronym AI (artificial intelligence), is respectively the 'intelligent', multi-criteria, advanced, automated processing of complex, large amounts of data carried out in a way that alludes to certain characteristics of human intelligence exhibited by thought processes. As such, it is the intelligence exhibited by artificial devices, including certain advanced ICT and Industry 4.0 information technology systems and devices equipped with these technological solutions. The concept of artificial intelligence is contrasted with the concept of natural intelligence, i.e. that which pertains to humans. In view of the above, artificial intelligence thus has two basic meanings. On the one hand, it is a hypothetical intelligence realised through a technical rather than a natural process. On the other hand, it is the name of a technology and a research field of computer science and cognitive science that also draws on the achievements of psychology, neurology, mathematics and philosophy. In computer science and cognitive science, artificial intelligence also refers to the creation of models and programmes that simulate at least partially intelligent behaviour. Artificial intelligence is also considered in the field of philosophy, within which a theory is developed concerning the philosophy of artificial intelligence. In addition, artificial intelligence is also a subject of interest in the social sciences. The main task of research and development work on the development of artificial intelligence technology and its new applications is the construction of machines and computer programmes capable of performing selected functions analogously to those performed by the human mind functioning with the human senses, including processes that do not lend themselves to numerical algorithmisation. Such problems are sometimes referred to as AI-difficult and include such processes as decision-making in the absence of all data, analysis and synthesis of natural languages, logical reasoning also referred to as rational reasoning, automatic proof of assertions, computer logic games e.g. chess, intelligent robots, expert and diagnostic systems, among others. Artificial intelligence can be developed and improved by integrating it with the areas of machine learning, fuzzy logic, computer vision, evolutionary computing, neural networks, robotics and artificial life. Artificial intelligence (AI) technologies have been developing rapidly in recent years, which is determined by its combination with other Industry 4.0 technologies, the use of microprocessors, digital machines and computing devices characterised by their ever-increasing capacity for multi-criteria processing of ever-increasing amounts of data, and the emergence of new fields of application. Recently, the development of artificial intelligence has become a topic of discussion in various media due to the open-access, automated and AI-enabled solution ChatGPT, with which Internet users can have a kind of conversation. The solution is based and learns from a collection of large amounts of data extracted in 2021 from specific data and information resources on the Internet. The development of artificial intelligence applications is so rapid that it is ahead of the process of adapting regulations to the situation. The new applications being developed do not always generate exclusively positive impacts. These potentially negative effects include the potential for the generation of disinformation on the Internet, information crafted using artificial intelligence, not in line with the facts and disseminated on social media sites. This raises a number of questions regarding the development of artificial intelligence and its new applications, the possibilities that will arise in the future under the next generation of artificial intelligence, the possibility of teaching artificial intelligence to think, i.e. to realise artificial thought processes in a manner analogous or similar to the thought processes realised in the human mind.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
The fourth technological revolution currently taking place is characterised by rapidly advancing ICT information technologies and Industry 4.0, including but not limited to machine learning technologies, deep learning, artificial intelligence, .... what's next? Intelligent thinking autonomous robots?
What do you think about this topic?
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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The drive to build autonomous, thinking, intelligent robots, androids raises many ethical controversies and potential risks. In addition to this, the drive to build artificial consciousness as a kind of continuation of the development of artificial intelligence is also controversial.
What is your opinion on this topic?
Best regards,
Dariusz Prokopowicz
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Will the black scenarios of the futurological visions known from scence fiction films, in which autonomous robots equipped with artificial intelligence will be able to reproduce and self-improve, come true in the future?
The theoretical basis for the concept of the essence of artificial intelligence has been developing since the 1960s. Since then, black scenarios of futurological visions, in which autonomous robots equipped with artificial intelligence will be able to reproduce themselves, self-improve, become independent of human control and become a threat to humans, have been created in literature and film of the genre of scence fiction. Nowadays, in the situation of dynamic development of artificial intelligence and robotics technologies, the above-mentioned considerations return to topicality.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Will the black scenarios of futurological visions known from scence fiction films, in which autonomous robots equipped with artificial intelligence will be able to reproduce and self-improve, come true in the future?
Will artificial intelligence-equipped autonomous robots that can reproduce and self-improve emerge in the future?
And what is your opinion about it?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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While the future remains uncertain, it's essential to consider the potential of autonomous robots with AI. While they won't be popping out little robot babies any time soon, significant advancements are likely. Self-improvement is already evident in AI research, but let's hope they won't outsmart us entirely! As responsible developers, we must prioritize safety and ethics to avoid any "I, Robot" scenarios. Remember, the future is what we make it, so let's aim for a world where robots and humans coexist harmoniously – a future where even the Jetsons would envy our technological prowess!
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As a part of my MSc thesis, I have evaluated the ability of GP to evolve successful control program that can help an autonomous robot to aviod static obstacles through its navigation toward a target position. However, the obstacle avoidance behavior has become a classical problem that does not have a wide interest in the field of automatic programming. Therefore, I am looking for a new challenge that includes training a robot to do more significant navigation tasks based on general solutions gradually evolved be GP.
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You don't have to worry about anything. There is a universal controller! There is no need for you to study the control plant and make its mathematical model. There is no need to adjust the controller. Just take and use! https://t.me/universalcontrol
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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 have placed IMU MPU2950 on an AMR (Autonomous Mobile Robot) with a metallic body. Even though I am using Madgewick Filter to smooth out the data, it is not enough and confuses the localization algorithm in the AMR. Is there any way to dampen the vibrations with physical additions?
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Various methods of damping are described in Vibration Control for Optomechanical Systems, by V.M.Ryaboy, World Scientific, 2022, ISBN 9789811237331, Chapter 7.
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Hi there,
I am looking at the technical reasons why torque control is better then position control for biped, quadruped...
If the research gate community can provide insights I iwll greatly appreciate
thank you very much
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Suppose I have and HD map, which have many segments (line, arc, spiral, …), that describe the road of the vehicle.
Now, How can I plot or get the coordinates along the spiral given the all following data:
  • start coordinate of the spiral,
  • the heading (orientation) of the spiral,
  • the start and end of the curvature for the spiral, and
  • the length of the spiral.
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Dear @Qamar Ul Islam, thanks for your response, however it is not the correct. Since the video explained the polar spiral or Archimedes spiral.
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At present, the economies of developed countries are entering the period of the fourth technological revolution known as Industry 4.0.
The previous three technological revolutions:
1. The industrial revolution of the eighteenth and nineteenth centuries, determined mainly by the industrial application of the invention of a steam engine.
2. Electricity era of the late nineteenth century and early twentieth century.
3. The IT revolution of the second half of the twentieth century determined by computerization, computerization, the widespread use of the Internet and the beginning of the development of robotization.
The current fourth technological revolution, known as Industry 4.0, is motivated by the development of the following factors:
- artificial intelligence,
- cloud computing,
- machine learning,
- Big Data database technologies,
- Internet of Things.
In every previous technological revolution, the same question was repeated many times. However, economies developed and changed structurally and labor markets returned to balance. Periodically, short-term economic crises appeared, but their negative economic effects, such as falling income and rising unemployment, were quickly reduced by active state intervention.
It seems to me that self-malting and robotization, IT, artificial intelligence, learning machines will change the labor markets, but this does not necessarily mean a large increase in unemployment. New professions, occupations, specialties in these areas of knowledge and technology will be created. Someone, after all, these machines, robots, etc. must design, create, test, control, and implement into production processes.
Therefore, I am asking you:
Will the technological development based on self-mulization, robotization, IT development, artificial intelligence, machine learning increase unemployment in the future?
Please reply. I invite you to the discussion
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We do care AI and other Technological approaches and apply them for better environment and humanity ,love and affection but still human is at the center as human intelligence is sentiment oriented and this will be lost or decay .Thus hybrid approach paradigms should be adopted .
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I want to implement artificial intelligence in robots with my students. Soon we will have Arduino chips, so the hardware will be Arduino-based. I need ideas for prospective applications of AI with robots. It could be in any AI area - machine learning, computer vision, path searching and so on. Any suggestions?
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Insecure communications, authentication issues, weak default configuration, denial of service attacks, risk and vulnerabilities, and privacy issues have raised several security concerns in robotics. In consequence, the demand for cyber security solutions and services in robotics is increasing to prevent robot from being hacked, monitor the vulnerabilities, prevent the data from being tampered, and to prevent unauthorized access...
Artificial Intelligence and Machine Learning are being applied across major industries and applications, including the cyber security in robotics. These technologies are used to detect the cyber threats based on analyzing data and identifying a threat before it exploits a vulnerability in the information security in robotics. Moreover, Machine Learning remains a key focus area of companies operating in the cyber security in robotics market, as it enables the robot to predict threat and observe behavior anomalies with more accuracy. Machine learning and artificial intelligence are also used for detecting and tracking the active phishing sources...
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Considering a four wheel skid steering heavy robot of one ton, I need to know the minimum torque needed to rotate itself from standstill.
Are the calculous very easy or there is a paper that is exhaustively focused on this issue?
In my opinion, the wheels torque should be greater than (i.e. win) the static friction considering that all four wheels are not rotating. Indeed the robot should move normal to its longitudinal axe which in our case coincides with the longitudinal axes of the wheels.
Other than the impact of an agricultural environment on the static friction, what is the impact of the wheel orientation?
What is the impact of the center of gravity in case it does not coincide with the center of area?
Thank you very much
Stefano
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When rotating in place the skid-steer locomotion schema has an significant slip angle, thus I think the classic Coulomb friction model shouldn't apply, in other words, the elasticity of the tyre and the size of the contact patch may influence the motion, rather than the simple friction coefficient between tyre and soil. "Theory of ground vehicles" by J. Y. Wong could probably help you, namely subchapter 1.4 and chapter 2.
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I have a very limited knowledge  on control systems. Now my research field is on quadcopters and I want a comprehensive book in this field that can fill all my knowledge gaps on quadcopter sensor fusion techniques and also modeling,system identification and control methods of a quad-copter. 
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Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor
Survey of Advances in Guidance, Navigation, and Control of Unmanned Rotorcraft Systems
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Dear helper,
I am currently busy with a project for autonomous driving of tractor semi-trailers with of axle hitching. I want to design an input-output linearizing feedback for a non-linear MIMO system. I am getting stuck on how to do so. I want to know how I can decouple my system, and how to model it in Simulink to let my tractor semi-trailer track a desired output. I hope you can help me with this. My system looks as follows:
x2dot = v*(cos(gamma)*cos(theta2) - (L1b/L1)*tan(delta)*sin(gamma)*cos(theta2))
y2dot = v*(cos(gamma)*sin(theta2) - (L1b/L1)*tan(delta)*sin(gamma)*sin(theta2))
theta2dot = (v/L2)*((L1b/L1)*tan(delta)*cos(gamma) + sin(gamma))
gammadot = v*((1/L1) - (L1b/(L1*L2))*cos(gamma))*tan(delta)) - (v/L1)*sin(gamma)
The inputs are the velocity u1 = v, and the steering angle u2 = delta. For the output I choose the articulation angle y1 = gamma between the tractor, and semi-trailer. To take an additional output to have the amount of inputs, and outputs equal I suppose to take as an additional output y2 = y. To give an idea on how the system looks like, I have added a picture of my system. My system is written for the coordinates of the rear axle of the semi-trailer, and has therefroe, the indice 2.
I know how to treat certain problems for non linear MIMO systems but I don't understand how to do this case due to the 2 inputs influencing each other. The system is not well defined if one of the inputs equals zero.
Kind regards,
Emile Biever
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[Information] Special Issue - Intelligent Control and Robotics
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Thanks for sharing.
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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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Will the development of artificial intelligence, e-learning, Internet of Things and other information technologies increase the scope of automation and standardization of didactic processes, which could result in the replacement of a teacher by robots?
Unfortunately, there is a danger that due to the development of artificial intelligence, e-learning, learning machines, the Internet of Things, etc. technology can replace the teacher in the future. However, this will not happen in the next few years, but this scenario can not be excluded in the perspective of several decades. In addition, the work of the teacher is a creative work, a social education, etc. Currently, it is assumed that artificial intelligence will not be able to fully replace a human teacher, because it is now assumed that you can not teach artistry machine, social sensitivity, emotional intelligence, empathy, etc.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
Will the development of artificial intelligence, e-learning, Internet of Things and other information technologies increase the scope of automation and standardization of didactic processes, which could result in the replacement of a teacher by robots?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Ningún robot puede sustituir el papel del profesor en el proceso enseñanza aprendizaje. El profesor piensa y tiene ltiene una memoria superior a cualquier robot.
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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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In which branches, industry, the development of robotics, work automation and the implementation of artificial intelligence into production processes, logistics, etc. is currently the most dynamic?
Please reply
I invite you to the discussion
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During the SARS-CoV-2 (Covid-19) coronavirus pandemic, robotics developed effectively in the field of automation of procurement and delivery logistics processes in logistics centers. In addition, during a pandemic, robots are used in infectious disease departments of hospitals to help care for people suffering from Covid-19 disease. Robots are also used in shopping malls, city parks and other public places to check, for example, whether citizens wear protective masks and whether they maintain an appropriate social distance.
Best regards,
Dariusz Prokopowicz
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What kind of scientific research dominate in the field of The development of automation and robotics?
Please, provide your suggestions for a question, problem or research thesis in the issues: The development of automation and robotics.
Please reply.
I invite you to the discussion
Thank you very much
Best wishes
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In the field of determinants of the development of automation and robotics, they propose the following research topic: Analysis of the development of robotics applications, artificial intelligence, learning machines, etc. in the field of improving anti-pandemic safety systems, i.e. in limiting the development of subsequent infections, the development of the SARS-CoV-2 coronavirus pandemic (Covid-19), improvement of pandemic risk management systems and crisis management in public institutions, health care institutions, enterprises and corporations.
Best regards,
Dariusz Prokopowicz
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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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Dear Fatema Miah,
Yes, you gave another example of the perfect application of robots, i.e. in difficult conditions for human work. Of course, robotics must be developed in a variety of applications, but only under full human control.
Thank you, Best wishes,
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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Can someone provide me with information on how to control a physical robot arm with V-Rep?
I am new to robotics and I want to link my V-Rep simulation to a real KUKA arm
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Zeashan Khan
thanks!
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- path planning robot simulation .
- 3D map environment model / robot workspace.
- mobile robot will autonomously navigate.
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Hi Ariff,
I suggest you to go over the tutorial in Gazebo/ROS with MATLAB. Here is the link:
Regards,
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As the Guest Editor of the special issue of the flagship publication of IEEE Computer Society, IEEE Computer, on "The Next Wave of Machine Learning Applications," I invite submissions of path-breaking uses of ML. Details and CFP below.
Keywords: Deep Learning, Artificial Intelligence, Big Data, Biotech, Quantum Computing, Social Innovation
Please also let me know if you wish to serve as a reviewer for this special issue.
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No madam, the focus is only on the cutting-edge - next wave of ML / DL applications.
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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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In autonomous exploration considering the pose uncertainty, is there any way to predict before hand the pose uncertainty the robot will have if it takes a particular action. This is to plan motion to increase the localizability while making exploration decision.
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Hi all,
Thank a lot for the replies. I tried a method also taking some of your suggestions. I did ray tracing to obtain simulated laser scan over the existing grid map and then used a laser beam model to find out p(z|x). However I'm bit confused about the final step of estimating the pose with covariance since I did not use a particle filter.
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Regarding unmanned Autonomous Vehicle (UAV) and specially drones:
With (deep) reinforcement learning, a common network can be trained to directly map state to actuator command making any predefined control structure obsolete for training.
There are now some relevant results in term of supervised DNN capable of providing a position with respect to a given image and thus the drone is able to navigate both outdoor and indoor.
Now if we are able to memorize places (at least relevant features) and create a topological map respecting the temporal sequence (temporality) and probably add some basic movement information like “move straight, turn left, turn right...”. I am aware that the task is very complex because you should be able to recognize the place whatever the point of view is and under different meteorological conditions (ideally). Of course such map should be able to achieve loop closure.
It opens the door to a completely new architecture for unmanned autonomous vehicle because you will not need to know (very) accurately your position anymore (SLAM will not be longer required).
You will have loosely coupled deep neural nets working together (I think this is also a quite interesting subject of research in the future).
Indeed the movements of the UAV will be computed with respect of the perceived environment and the UAV will be able to plan a route based on its « topological/semantic » map. It will use the memory to know where it is and where to go and thus plan movements accordingly (for instance: I have to move straight – a coffee shop on my right, then a stop sign, then move to the left...).
It will get closer to what mammals (at least the one studied in laboratories) are doing.
I would like to know if some people out there have heard about research going on on such coupling between place recognition and topological/semantic map?
Thanks
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Mohamed-Mourad Lafifi thank you for the references, some looks interesting!
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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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Scientists and conceptual artist have long predicted technology will “invade” the body. It already has, with implants like pacemakers. Others will follow to enhance muscular or neural functions, and probably with AI.
This “merger” will also happen more broadly when AI becomes part of daily life. AI will be tailored to human needs as much as possible, but sometime humans will have to meet AI halfway. AI systems using voice recognition will ask us to articulate clearly.
AI systems rely on “hardware” (whether robots, autonomous cars, etc.), and all such systems will have to be treated within the boundaries in which they can operate. Human will have to learn what these boundaries are.
It will gradually appear to people that AI has a “soul” of its own that humans can learn to appreciate. The first indication came from Japan. The owners of the robotic pet Aibo gave their pets Buddhist burial rites when their Aibo reached the end of its serviceable life.
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Dear Deeraj
Please try to read some of my comments! It could help you. Thanks
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I'm doing a paper on mobile robots for my school, it's a litterature review on the existing technologies, some history and future perspective, and I need some articles to read, I was hoping to get some help finding good ones,
Thank you in advance,
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Read my stuff -- a lot of innovations and inventions in mobile drones. May help you out to obtain an up to date view on the latest advances in small drones.
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I am working on localization problem of a mobile robot. I have an arrangement of two stepper motors, which can rotate a board in horizontal and vertical direction. I want to calculate the angle through which the stepper motors turns and then send this information to the robot.
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You will need a feedback mechanism to determine a starting/ending point and after that count the stepper motor phase alternations, knowing the ratio of impulses/revolutions. The feedback mechanism may be contactless (preferably) and may be realized using photo-optical sensors or magnetic sensors.
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Given the recent interest in creating swarms of robotic flies that carry explosives and contain face recognition circuitry (as described in Bot Flies, The Economist, Dec 16, 2017) will a time come when the enablers of such killing machines will be made to account? We all know that machines will never—and I emphasize never—be able to make decisions without the assistance of humans so expect arguments such as “the machine did it” to fail in a court law. Can you imagine a world where people like Robert Oppenheimer (the developer of the atomic bomb) are hauled off to prison and later put to death for the creation of lethal autonomous weaponry?
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Dear Edward,
I propose you to see links and attached files in subject.
-Who is Responsible for Autonomous Weapons? - Future of Life Institute
-When Thinking Machines Break the Law - Schneier on Security
-UN urged to ban 'killer robots' before they can be developed | Science ...
https://www.theguardian.com › Science › Weapons technology
-We can't ban killer robots – it's already too late | Philip Ball | Opinion ...
https://www.theguardian.com › Opinion › Robots
-Making the Case: The Dangers of Killer Robots and the Need for a ...
-Killer robots: No one liable if future machines decide to kill, says ...
-Humans Can't Escape Killer Robots, but Humans Can Be Held ...
-Military Robots and the Laws of War - The New Atlantis
-In defence of killer robots: Interview with expert Dr. William Boothby ...
Best regards
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Just now I was aware of being aware of saying the words, mentally, “I am thinking about a caterpillar”.
NB Clearly this is not at all the same as actually thinking about a caterpillar!
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Once more RE: Does the following entry in my research notebook, dated Oct 8 2016, prove to you that I am (i) conscious and therefore (ii) not a robot?
Here’s my shorter answer:
Let S be the entry in your notebook. It doesn’t matter whether S is a sentence or just an arbitrary string of meaningless symbols. Without information extrinsic to S, nothing can be concluded about the provenance of S, let alone prove (i) and (ii). With extrinsic information (e.g. recognizing the handwriting, knowing about present-day robotic devices are capable of, eyewitness accounts, video footage, general knowledge of the world and its causal processes) we might have a spectrum of affirmation from various inferences to the best explanation (abductive arguments) to observational proof of the sort we normally accept (i.e. other things being equal, we don’t also need to prove that we aren’t hallucinating, we don’t also need to prove that if the “I” in question has been observed to behave like a conscious human being he or she isn’t actually a zombie, and we don't need to rule out that the world, with us, our "memories", etc., came into existence just 5 minutes ago ).
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I'm working on MATLAB fuzzy based mobile robot navigation system. I need a mobile robot simulator so that I can test my system on it.
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I am working on a project which can detect human body poses. After getting a binary mask on human body i have to detect and track torso. I came to know particle filter is a good method for it.I want to implement it but I don't know how.
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You can check the book:
Beyond the Kalman Filter: Particle Filters for Tracking Applications
Sanjeev Arulampalam & Neil Gordon
But in any case, we need to use PF if the environment is stochastic or our measurements are noisy. If the environment is deterministic, or our measurements are noiseless; there is no reason to use PF!!
Good luck
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 I already built one using UIUC car dataset but it contains a little number of positive and negative samples (500 for each)?I need a trained classifier based on Large dataset.
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Unfortunately, ready made classifier works fine on their dataset and not in a generic way, also I would suggest HoG rather than Haar for  car detection
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I am working in my master thesis and my case is "ROBOTIC ARM WITH REAL TIME IMAGE PROCESSING".
Can you suggest me any case study where can i use a robotic arm to detect defective products in production.
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One of the main problems to spread panels in the desert is that, you should hire someone to clean them otherwise you will lose a lot of your efficiency.
On average, panels lost a little less than 0.05 percent of their overall efficiency per day.
Few days ago, a Tokyo-based company has a solution. Sinfonia Technology announced late last month that it has developed a robot with camera and sensors that can move autonomously and clean solar panels at large-scale solar power plants. Sinfonia's robot has a distinction in being "autonomous" in that, rather than tethered to rails, the robot is able to move from panel to panel, to tackle the panels' dirt and debris. The robot is equipped with a scrub brush, wiper and detergent; and also sprinkles water stored in its tank. The robot can work in the dark; it has LEDs, having wavelengths in the infrared range.
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A simple, and probably more effective and low cost solution would be to use a system similar to a car-windshield wiper, in which each panel has it's own wiper(s).
In such a system, one or more of the following options can be applied:
1) A simple open-loop, time based system, in which the wipers (and possibly some water (but remember, water is already scarce in the desert) ) cleans the panels once every day.
2) The other option would be to let the system decide when to use the wiper (for example: when power output from the panels drops while lighting conditions are optimum)
4) Let a human decide when to use the wipers. 
This option may possess many advantages, such as, but not limited to:
1- It is an already available, proven technology, simple system.
2- It can work in almost all weather conditions (cold, hot, humid, rainy, sunny, dark ....etc.)
3- Since it's low-tech., it requires no special technical staff to operate or maintain it.
I hope the above proves useful to your work.
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Hi, we know technology helps humans to enhance lifestyle more effectively. Somehow these technologies make human jobless, especially in developing countries as well.
What is your view, should we need to set parameters for limited use of technology, so we manage our society more effectively?
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There is a saying in Amharic "ህልም ተፈርቶ ሳይተኛ አይታደርም" literally saying " fear of a dream(night mare) will not prohibit one from sleeping" as sleeping is a natural imperative to rest and rejuvenate our brain in order to refresh and perform our jobs with more energy and enthusiasm.
Fear of lose of jobs will not prohibit humans to create new technologies that facilitate proficiency and enhance life and these advances force  society to learn advanced skills and techniques to be creative and knowledgeable about things so that employment is equally available in advanced form. Let us not forget that technologies alone can not do things by themselves, humans are required side by side. 
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We have designed a autonomous robotic systems for agricultural pesticides applications. Currently I am acquiring the sensors data through wired lines. I want to switch this system in wireless mode. Meaning is that, I want to operate in wireless mode, i.e. want to acquire multisensors data through wireless. Can anybody suggest me suitable wireless module for the mentioned purposes. 
Thanking you!
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We are using zigbee and RPi for the same.. You can have a look at it... :)
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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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Suppose that I have a database of people's faces and I have a camera that acquire an image of a face. I'm interested in algorithms that can provide me, in a small amount of time, the correspondence of this face to the one in the database, if exists.
I would like to run the supposed algorithm in a computer with limited processing capabilities, autonomously, i.e. without connection to another computer or network (example autonomous robot).
I'm able to use different cameras, namely RGB, depth and thermal.
Thank you very much! 
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The problem of matching a face to a database of faces is called face recognition. There are many methods for it, and they usually are a mix of methods. Usually involving steps like finding landmarks, aligning, feature extraction, pose estimation, training, classification. There are lots of various features people use, hard to say which is best. Popular for both features and training is Convolutional Neural Networks (CNN). They usually give good results in many cases. Gaussian Processes also gives good results. Some use CNN for features and then a simpler classification method such as SVM or a bayesian. This is not a complete answer, more of a hint.
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Considering that a robot with an Ackerman steering, the front wheels are oriented to a different angle, I was wondering what is the best approach for estimating the robot's pose. Differential rotation you calculate the robot's position by measuring the amount of ticks for each wheel but does the same apply for Ackerman?
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You can get the similar or apropriate answer by searching the keyword in the GOOGLE SCHOLAR page. Usually you will get the first paper similar to your keyword.
From my experience, this way will help you a lot.
If you still have a problem, do not hasitate to let me know.
Kind regards, Prof Dr ZOL BAHRI
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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 used a CM8870 DTMF decoder for my project and I want to simulate my code in proteus simulator.
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InsyAllah I will explain in detail soon.
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I wonder are they some formal models, implementations, suggestions, ideas about how do these flows interact and how they are processed using working memory. So, according to me,  the question deals with LTM representations, the representations of the sensory input and their comparison/rejection during let's say "understanding", perhaps with rearguards of learning too.
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Hi Velina!
I've just posted a reply to Vladimir Farber that, to my understanding, has basic relevance to your question.
Following from it, there's the implication that more clearly-defined representation of the individual episodes of a continuous sequence should increase a subject's ability to recall the representation of each episode in the form of a deliberately prescribed chunk (i.e. a chunk consisting of a predeternined number of episodes, and perhaps paced in time). With mental rehearsal,  the chunked low-level individual representations would entail the forming of a high-level cognitive representation that included the chunk's additional, deliberately imposed parameters, allowing automatized top-down retrieval of the entire set on demand.
Hope this is of some help - please let me know if it needs clarifying or elaborating.
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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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Does anyone have any experience on the development of a domestic robot's ability to locate itself in an indoor environment?
For your answer, take into account the possibility of having a camera on the robot (image recognition may be a way to go?).
I believe it may be necessary to take multiple inputs. For example, an image recognition algorithm, together with a "dead-reckoning" method, such as estimating diplacement as a function of the revolution of the robot's wheels could be used to estimate the position of the robot.
All feedback would be greatly appreciated, as I am just starting with this investigation.
Thank you very much!
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You could have a look at RatSLAM, as it would fit your constraints very well (works indoor + outdoor, uses a camera as input). There is an open source version of it available, too: OpenRatSLAM.
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I am trying to design an industrial robot but I am stuck. I don't know how to calculate the link lengths.
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Introduction to Robotics: Mechanics and Control (3rd Edition)
John J. Craig
I've used this book to program a controller from scratch for an old Reis 6 axis industrial robot. The kinematics is very understandable in this book.
However your question is rather vague since you must have some design requirements which naturally introduces some limitations on the lenghts of each link. E.g. what volume of workspace do you need? 
A very simple approach would be to simply scale the dimensions of the links of an existing robot and keep the relative length of each link.
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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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Multi functionality which can be manually operated or autonomous
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One of my professor's colleague (Edward Grant), in 2000s had this pipe-crawling robot:
There might be a way to use similar approach to hold the pipe from outside, rather than inside
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This may sound dumb, but I have been finding it very hard to catch this . For example in a Odometry - GPS fusion., how exactly do I calculate for Q and R what data do I need to collect from both data sources.
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Many thanks Robert
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In recent years, many robot-centric SLAM approaches have been proposed by the research community. Several authors claim that this approach allows to achieve algorithms with better consistency and convergence properties.
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You can find the answer in this article:
Javier Civera, Óscar G. Grasa, Andrew J. Davison, J. M. M. Montiel
1-Point RANSAC for EKF Filtering: Application to Real-Time Structure from Motion and Visual Odometry
Journal of Field Robotics, vol. 27(5), pp. 609-631, October 2010.
you can get from here:
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I am just looking for a summary or a review or similar, in which the autonomy degree of robots is classified or divided.
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Hi Markus,
thank you. That is exactly what Im looking for.
Felix
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A first study text for a newcomer to the field.
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