Science topic

Humanoid Robots - Science topic

Humanoid Robots are strongly characterized & contributed as fascinated by human's dreams of understanding the perception, cognition, behavior, and applied mathematics into advanced robotic science and systems. Topics: Design and control, platforms for applications, Software and hardware architecture, system integration, Whole-body motion planning and control, Stability and dynamics, Perception, action and cognition, Learning strategies, grasping and manipulation, Human motion imitation, Human-humanoid interaction, Planning, localization and navigation, Human body and behavior modeling, Neuro-robotics and humanoids, medical robotics.
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What professions, professional professions performed by people are not threatened by the development of artificial intelligence technology?
Until relatively recently, the prevailing opinions were that among the professions, professional professions performed by people, which are not threatened by the development of artificial intelligence technology mainly included highly creative professions in which people demonstrated creativity. Recently, the prevailing opinions on the subject are changing, as the professions performed by humans now include those highly creative mental jobs and the least threatened are those that are mainly relatively simple physical jobs performed in the field. Yet the pace of technological advances being made within AI technology has been very rapid recently. Consequently, the currently dominant opinions in the issue of the impact of AI technologies on labor markets may also quickly become outdated.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities for labor markets related to the development of artificial intelligence technologies?
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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In recent years, there have been various theories, sometimes partially contradictory to each other, about the impact of AI development on labor markets. Some researchers on this issue advocate pessimistic theories suggesting serious threats to labor markets due to the development of AI technology and its various applications resulting in AI taking jobs away from people. On the other hand, there are researchers of this issue who claim that new technologies and solutions and applications of AI will rather generate a lot of new jobs, new professions and occupations performed by people using certain applications equipped with AI.
What do you think will be the impact of AI development on labor markets? Do you favor rather negative or positive scenarios for the labor markets that will develop in the future under the influence of the development of various applications of AI technology? In your opinion, will artificial intelligence take jobs away from people in the future, or will the development of AI, its applications, the emergence of new applications equipped with AI, more AI agents rather create new jobs, new professions and occupations performed by people?
Perhaps reading the following article will help in taking a position on this issue. I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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How can we best add artificial intelligence to medical surgery? Is it possible for humanoid robots to replace doctors in some precise internal medicine surgeries?
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If surgical robots can reach the level of doing bespoke tailoring and know enough applicable anatomy and pathology as a competent surgeon ! ? So many crafts are learned not just by brain & knowledge but by heart & perseverence !?
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In the rapidly transforming landscape of fast-paced technology evolution, the fusion of artificial intelligence (AI) and humanoid robotics is set to redefine academia as we know it. From advancements in AI, humanoid robotics, nano and bio technologies, and smart medicine, the vision of an ultra-smart cyberspace is becoming a tangible reality. Yet, amid this transformative potential, scholars face a pressing challenge – how to navigate the complexities of these cutting-edge technologies to drive impactful research and innovation.
Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace beckons scholars to harness the full potential of applied AI and humanoid robotics in academia. This book illuminates the most effective applications of these technologies across various disciplines such as industry, business, health, government, military, and critical cyber infrastructure. Through rigorously peer-reviewed chapters, the book addresses key issues, provides technical solutions, and guides future research directions, fostering a collaborative bridge between academia and industry.
Whether you're a seasoned academic expert or a graduate student embarking on your academic journey, this book offers invaluable insights into the transformative power of applied AI and humanoid robotics. This book is tailored for academic scholars, researchers, and educators who want to stay ahead of technological innovation. Moreover, it serves as an essential reference for decision-makers worldwide across government, military, business, and industry, providing strategic guidance in navigating the evolving landscape of AI-driven technologies.
source: Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace
Eduard Babulak
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ChatGPT said:
ChatGPT
The rise of ultra-smart cyberspace and AI-driven humanoid robotics is indeed transforming manufacturing industries and businesses by driving full automation. This transformation is marked by several key advancements and impacts:
1. Enhanced Connectivity and Data-Driven Decision Making
  • Ultra-Smart Cyberspace: The development of ultra-smart cyberspace, often referred to as Industry 4.0, involves the integration of advanced digital technologies such as the Internet of Things (IoT), cloud computing, and big data analytics. These technologies enable seamless connectivity between machines, devices, and systems, creating a highly interconnected environment.
  • Data-Driven Insights: The vast amount of data generated by smart sensors and devices in manufacturing environments is analyzed in real-time by AI algorithms. This data-driven approach allows for predictive maintenance, quality control, and optimization of production processes, leading to increased efficiency and reduced downtime.
2. AI-Driven Humanoid Robotics
  • Automation of Complex Tasks: AI-driven humanoid robots are capable of performing tasks that were previously too complex for traditional automation. These robots can handle intricate assembly processes, adapt to changes in the environment, and interact safely with human workers. Their ability to learn and improve through machine learning algorithms further enhances their utility in manufacturing.
  • Collaboration with Human Workers: Unlike earlier industrial robots that were isolated from human workers, AI-driven humanoid robots are designed to work alongside humans in a collaborative manner. This collaboration enhances productivity and allows for more flexible manufacturing processes, where robots can take over repetitive or hazardous tasks while humans focus on more complex or creative work.
3. Increased Efficiency and Customization
  • Just-In-Time Manufacturing: The integration of AI and robotics enables just-in-time manufacturing, where products are made to order with minimal lead time. This reduces inventory costs and allows for greater customization of products to meet specific customer demands.
  • Mass Customization: AI-driven systems can quickly reconfigure production lines to accommodate different product variants without significant downtime. This ability to offer mass customization is a significant advantage in markets where consumer preferences are increasingly diverse.
4. Cost Reduction and Scalability
  • Lower Operational Costs: Automation driven by AI and robotics reduces labor costs, energy consumption, and material waste. These savings contribute to lower overall operational costs, making it possible for companies to scale their operations more easily.
  • Scalable Production: AI systems can manage and optimize production processes at scale, allowing businesses to expand their operations without a proportional increase in costs. This scalability is particularly beneficial for industries with high demand variability.
5. Resilience and Flexibility
  • Adaptability to Disruptions: AI systems can quickly adapt to disruptions in the supply chain, production line, or market conditions. This resilience is crucial in a rapidly changing global environment, where businesses must be able to pivot quickly to stay competitive.
  • Remote and Autonomous Operations: With the advent of ultra-smart cyberspace, manufacturing systems can be monitored and controlled remotely, allowing for autonomous operations even in challenging or remote environments. This flexibility is key to maintaining continuous operations in situations where human presence may be limited.
6. Innovation and Continuous Improvement
  • Accelerated Innovation Cycles: AI-driven automation allows for rapid prototyping and testing of new products and processes. This acceleration in innovation cycles enables companies to bring new products to market faster and with greater confidence in their quality.
  • Continuous Learning and Improvement: AI systems continuously learn from data, leading to ongoing improvements in manufacturing processes. This continuous improvement loop enhances product quality, reduces defects, and increases overall production efficiency.
7. Impact on Workforce
  • Shift in Skill Requirements: As automation becomes more prevalent, there is a growing demand for workers with skills in AI, robotics, and data analytics. The workforce is transitioning from traditional manufacturing roles to more technology-oriented positions.
  • Human-Robot Collaboration: The introduction of humanoid robots in manufacturing also raises questions about the future of work. While some jobs may be displaced, new opportunities are emerging in areas such as robot maintenance, programming, and AI system management.
Overall, the combination of ultra-smart cyberspace and AI-driven humanoid robotics is leading to a new era of manufacturing and business operations, characterized by greater efficiency, flexibility, and innovation. The transformation to full automation is not just about replacing human labor but enhancing the capabilities of businesses to meet the demands of the modern world.
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I would like to know whether it is possible for humans to create or manufacture other humans who can do everything a human can also do. I mean is it possible to create a human being without reproduction? I don't want a humanoid robot but a real human without reproduction.
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Hereditics and Cloning Techniques in Human Reproduction
Please read the paper title "Hereditics and origin of life" in https://www.hereditics.net. All of the techniques of human reproductive cloning, mitochondria replacement therapy (MRT) and preimplantation genetic testing for aneuploidy (PGT-a) are wrongly based on the theory that Genetics is the only theory of heredity and neglect the hereditary function of cytoplasm. Thus, all of them will produce unhealthy babies. That is why all of them should be banned in human reproduction.
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There are many people today living in the regions in the world where wars destroyed everything and access to education for children is almost non existent or very limited. Having current advances in the field of AI, eLearning, and Humanoid Robotics, will hopefully contribute to the betterment of mankind, in particular children who are victims of wars and need access to education.
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In a situation of deep economic, social, war, climatic, natural and other crises, in areas devastated after a climatic or other cataclysm, in areas characterized by destroyed or never built infrastructure of public institutions, poorly developed transport communication infrastructure, in areas characterized by a low level of civilization and/or economic development, in areas characterized by low population levels, lack of urban agglomerations, etc., building an efficient public education system is greatly hampered. In such a situation, children and young people's access to education is usually very limited. If the Internet is available, e.g. via satellite links, and at least makeshift schools have Internet-connected devices, then ICT and Industry 4.0/5.0 can be of great help in building any system of public education in areas in crisis and/or characterized by underdeveloped necessary infrastructure of public institutions. Above all, the possibility of building a remote education system based on web-based video conferencing platforms will be of great help in this regard. Besides, the new technologies of Industry 4.0/5.0, i.e. generative artificial intelligence, Internet of things, cloud computing, machine learning, deep learning, humanoid robotics, digital twins, Big Data, Data Science, multi-criteria simulation models, etc., can make it possible to develop online educational platforms in which a teacher who implements the educational process remotely online will be assisted by the aforementioned technologies.
I would like to invite you to join me in scientific cooperation on this issue,
Warm greetings
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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Are the intelligent and learning humanoid robot "Artificial Friends" , AFs, envisaged by Kazuo Ishiguro in his recent novel "Klara and the Sun" feasible and likely to be mass produced in reality?
If so, wnat are the implications for human society?
IMPORTANT: the entife novel is the life story of KLARA, an artificial friend ie an AF, as told FROM HER INNER PERSPECTIVE, that is it tells her inner thoughts whether outwardly expressed or not.
"Klara and the Sun", Published Faber and Faber 2021
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They will be produced and can be beneficial for some people who feel insecure in communicating with others. They can work as training toys I guess. However, I think such toys can have negative effects as well. For example, it can remove the need for social interactions with real people, which can make people even less sociable over time. So everything should be weighted when using those. Yet, it is just personal opinion.
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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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2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM 2024) will be held in Nanjing, China on April 26-28, 2024.
ICMTIM 2024 will be held once a year, aiming to bring scholars, experts, researchers and technicians in the academic fields of "mechatronics" and "intelligent manufacturing" together into an academic exchange platform, and provide a platform to share scientific research results, cutting-edge technologies, understand academic development trends, broaden research ideas, and strengthen academic research and discussion.
---Call For Papers---
The topics of interest for submission include, but are not limited to:
TRACK 1: Mechatronics Technology
· Mechatronics Control
· Sensors and Actuators
· 3D Printing Technologies
· Intelligent control
· Motion Control
......
TRACK 2:Intelligent Manufacturing
· Modeling and Design
· Intelligent Systems
· Intelligent mechatronics
· Micro-Machining Technology
· Sustainable Production
......
All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
Important Dates:
Full Paper Submission Date: February 10, 2024
Registration Deadline: March 10, 2024
Final Paper Submission Date: March 25, 2024
Conference Dates: April 26-28, 2024
For More Details please visit:
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yes am interested
@
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Will generative artificial intelligence taught various activities performed so far only by humans, solving complex tasks, self-improving in performing specific tasks, taught in the process of deep learning with the use of artificial neural network technology be able to learn from its activities and in the process of self-improvement will learn from its own mistakes?
Can the possible future combination of generative artificial intelligence technology and general artificial intelligence result in the creation of a highly technologically advanced super general artificial intelligence, which will improve itself, which may result in its self-improvement out of the control of man and thus become independent of the creator, which is man?
An important issue concerning the prospects for the development of artificial intelligence technology and its applications is also the question of obtaining by the built intelligent systems taught to perform highly complex tasks based on generative artificial intelligence a certain range of independence and self-improvement, repairing certain randomly occurring faults, errors, system failures, etc. For many years, there have been deliberations and discussions on the issue of obtaining a greater range of autonomy in making certain decisions on self-improvement, repair of system faults, errors caused by random external events by systems built on the basis of generative artificial intelligence technology. On the one hand, if there are built and developed, for example, security systems built on the basis of generative artificial intelligence technology in public institutions or commercially operating business entities providing a certain category of security for people, it is an important issue to give these intelligent systems a certain degree of autonomy in decision-making if in a situation of a serious crisis, natural disaster, geological disaster, earthquake, flood, fire, etc. a human being could make a decision too late relative to the much greater speed of response that an automated, intelligent, specific security, emergency response, early warning system for specific new risks, risk management system, crisis management system, etc. can have. However, on the other hand, whether a greater degree of self-determination is given to an automated, intelligent information system, including a specified security system then the scale of the probability of a failure occurring that will cause changes in the operation of the system with the result that the specified automated, intelligent and generative artificial intelligence-based system may be completely out of human control. In order for an automated system to quickly return to correct operation on its own after the occurrence of a negative, crisis external factor causing a system failure, then some scope of autonomy and self-decision-making for the automated, intelligent system should be given. However, to determine what this scope of autonomy should be is to first carry out a multifaceted analysis and diagnosis on the impact factors that can act as risk factors and cause malfunction, failure of the operation of an intelligent information system. Besides, if, in the future, generative artificial intelligence technology is enriched with super-perfect general artificial intelligence technology, then the scope of autonomy given to an intelligent information system that has been built with the purpose of automating the operation of a risk management system, providing a high level of safety for people may be high. However, if at such a stage in the development of super-perfect general artificial intelligence technology, however, an incident of system failure due to certain external or perhaps also internal factors were to occur, then the negative consequences of such a system slipping out of human control could be very large and currently difficult to assess. In this way, the paradox of building and developing systems developed within the framework of super-perfect general artificial intelligence technology may be realized. This paradox is that the more perfect, automated, intelligent system will be built by a human, an information system far beyond the capacity of the human mind, the capacity of a human to process and analyze large sets of data and information is, on the one hand, because such a system will be highly perfect it will be given a high level of autonomy to make decisions on crisis management, to make decisions on self-repair of system failure, to make decisions much faster than the capacity of a human in this regard, and so on. However, on the other hand, when, despite the low level of probability of an abnormal event, the occurrence of an external factor of a new type, the materialization of a new category of risk, which will nevertheless cause the effective failure of a highly intelligent system then this may lead to such a system being completely out of human control. The consequences, including, first of all, the negative consequences for humans of such a slipping of an already highly autonomous intelligent information system based on super general artificial intelligence, would be difficult to estimate in advance.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can the possible future combination of generative artificial intelligence and general artificial intelligence technologies result in the creation of a highly technologically advanced super general artificial intelligence that will improve itself which may result in its self-improvement escaping the control of man and thus becoming independent of the creator, which is man?
Will the generative artificial intelligence taught various activities performed so far only by humans, solving complex tasks, self-improving in performing specific tasks, taught in the process of deep learning with the use of artificial neural network technology be able to draw conclusions from its activities and in the process of self-improvement learn from its own mistakes?
Will generative artificial intelligence in the future in the process of self-improvement learn from its own mistakes?
The key issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Thank you,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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That's a great possibility. The GenAI and related machines are being trained in learning within that context of self learning and will evolutionary possess the ability to learn and unlearn based on data available and being feed on platforms.
This evolved AI machines whole be able to determine on it own when a decision is sound or not sound without human prompts and instructions. There have been under test such androbots in conducting surgery and other minor care without human intervention.
So to me, autonomous algorithms of the future will not be dependent on the trainers and developers to feed them with specified data but the machine after the initial programming and training will take on evolutionary development as humans learn from experiences to improve and self-correct.
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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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Humanoid robots equipped with advanced artificial intelligence demonstrate remarkable adaptability to various environments. Could you elaborate on the underlying mechanisms and technologies that enable these robots to perceive and navigate through different spaces seamlessly, and how does this adaptability contribute to their usefulness in practical applications?
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Humanoid robots equipped with advanced AI showcase adaptability to varied environments through several key technologies:
Sensors and Perception: They use an array of sensors (like LIDAR, cameras, infrared) to perceive their surroundings. These sensors gather data about the environment, which is then processed by the robot's AI system.
Machine Learning and AI Algorithms: AI, particularly machine learning algorithms, allows robots to interpret sensor data, recognize patterns, and make decisions. Through deep learning, these robots can improve their understanding over time, adapting to new environments and situations.
Motion Planning and Control Systems: Advanced algorithms enable the robot to plan and execute movements. These systems consider the robot's physical constraints and the environment to navigate without collisions.
Human-Robot Interaction (HRI): Humanoid robots often include HRI capabilities, using AI to interpret human gestures, language, and behavior, allowing for more natural interaction.
Real-Time Processing: The ability to process information and make decisions in real-time is crucial for adaptability in dynamic environments.
This adaptability is key to practical applications like search and rescue missions, where environments are unpredictable, healthcare for personalized patient interaction, or in industries for varied tasks. The ability to navigate and interact in different settings makes humanoid robots valuable tools in scenarios that are too dangerous, repetitive, or inaccessible for humans.
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The third millennium is a beginning of a new era of superfast ubiquitous Internet and computing technologies, which create a foundation for advanced applied research in next generation Ultra-Smart Computational Devices and Fully Automated Cyberspace. Given the current dynamic developments in the field of AI & Robotics, Big Data, Massive Data Storage and Ubiquitous access to highspeed Internet 24/7 for anyone worldwide, the term Smart Cyberspace is becoming well accepted reality. The current advancements in Humanoid Robotics and Robotic Internet, Big Data, AI and Machine Learning, Tele-Medicine, in conjunction with collecting real-time data from the Electronic Health Record (EHR) in the nation and worldwide, as well as collections of antibodies contributes well to community worldwide aspirations to safe human lives and to restart the economies worldwide. The areas of research in the field of robotics that are closely related to the modeling, motion generation, and control of humanoid robots are clarified. Research results in the fields of physics-based animation of articulated figures and the biomechanics of human movement are shown to share a number of common points. In light of currently ongoing developments of Covid-19 crisis, having effective real-time application of Artificial Intelligence & Robotics with the Big Data remotely control via Internet is essential. These are most dramatic times for mankind worldwide, and yet despite of its most negative impact it does also inspire dynamic innovation, research and developments in the world of health, business, government, industry, plus., while promoting seamless creation of multidisciplinary teams of experts in the nation and worldwide. The Journal issue discusses the current and future dynamic trends in research, innovation and developments of cutting-edge technologies, Humanoid Robotics, AI, and smart cyber systems that may contribute effectively to people saving lives, and decision makers in the nation and worldwide.
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The current and future social impact of ultra-smart computational cyberspace driven by artificial intelligence (AI) and humanoid robotics has sparked intense debate among scholars, scientists, and policymakers. While some argue that these advancements will lead to a utopian society where humans and machines coexist harmoniously, others fear the potential consequences of such rapid technological progress.
One of the most significant social impacts of this future cyberspace is the potential loss of jobs. As AI and robotics become more advanced, they are increasingly capable of performing tasks traditionally done by humans. This could result in widespread unemployment and economic inequality. However, proponents argue that these advancements will also create new job opportunities in fields related to AI development and maintenance.
Another concern is the erosion of privacy rights. With the increasing integration of AI into everyday life, personal data is being collected at an unprecedented rate. This raises concerns about surveillance and the potential for abuse by both governments and corporations. Stricter regulations must be put in place to protect individuals' privacy rights while still allowing for technological progress.
Furthermore, there are ethical implications associated with AI-driven cyberspace. As machines become more intelligent, questions arise about their ability to make moral decisions. For example, should an autonomous vehicle prioritize saving its passengers or pedestrians in a potentially fatal accident? These ethical dilemmas need to be addressed through careful regulation and oversight.
Despite these concerns, there are also many positive social impacts that can arise from ultra-smart computational cyberspace driven by AI and humanoid robotics. For instance, advances in healthcare can lead to improved diagnoses and treatments for diseases. Additionally, robots can assist with caregiving tasks for the elderly or disabled population.
In conclusion, while there are valid concerns about the current and future social impact of ultra-smart computational cyberspace driven by AI and humanoid robotics, it is important not to overlook the potential benefits that these advancements can bring to society. Striking a balance between technological progress and ethical considerations is crucial to ensure a positive future for humanity.
Reference:
Smith, J. (2020). The social impact of artificial intelligence. Retrieved from https://www.forbes.com/sites/cognitiveworld/2020/01/20/the-social-impact-of-artificial-intelligence/?sh=4d1e5c6f2b07
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The introduction of humanoid robots into various industries has raised questions about their potential impact on the job market and employment landscape. Could you provide insights into how the integration of robots, particularly those with human-like capabilities, is influencing job roles, skill requirements, and workforce dynamics? What are the potential benefits and challenges associated with this shift?
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Abu Rayhan The integration of humanoid robots into industries has several impacts on the job market and employment dynamics:
1. Job Displacement: Robots can replace repetitive and manual tasks, leading to potential job displacement for workers in those roles.
2. Job Transformation: While some jobs may be lost, others may evolve. Workers may need to adapt to new roles focused on robot programming, maintenance, and oversight.
3. Increased Productivity: Robots can enhance productivity, potentially creating new job opportunities in industries experiencing growth.
4. Skill Shift: There's a growing demand for skills in robotics, AI, and automation, influencing educational and skill development priorities.
5. Economic Impacts: The adoption of robots can influence economic growth, labor costs, and competitiveness on a global scale.
6. Social and Ethical Considerations: Ethical and societal concerns arise regarding robot-human interactions, job quality, and inequality.
7. Relevance of Soft Skills: Soft skills like creativity, problem-solving, and interpersonal communication become more critical as automation handles routine tasks.
8. Job Quality: Concerns about the quality of jobs that remain, including the potential for lower-paid, less secure employment.
Managing these impacts requires proactive policies, workforce development, and a balanced approach to automation to maximize benefits while addressing challenges.
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As humanoid robotics becomes more advanced and integrated into various aspects of society, what ethical considerations need to be addressed? How can we ensure that these robots are used responsibly and don't infringe upon human rights, privacy, and employment opportunities? How might their ability to mimic human actions and emotions impact human relationships and societal norms? What guidelines and regulations should be put in place to govern their deployment in sensitive environments like healthcare, education, and caregiving?
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Assuming that we are talking about robots as they exist right now, and not the hypothetical ones in the future, there are some concerns that the robots could infringe on our privacy and other rights. In this case, since they are still blind machines, their abilities to connect with other devices need to be subject to our approval and consent. They cannot simply monitor our surroundings and send the signals to their manufacturers or other parties.
As for the ability to mimic human movement and facial expressions, I don't have any serious objections. Right now everybody can immediately tell who is a human and who is the robot. So the problem is not a serious one right now.
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Humanoid robots are making inroads into the healthcare and medical sectors. Can you delve into the specific applications and advantages of using humanoid robots in these fields? How are they assisting medical professionals, aiding patients, and potentially transforming the way healthcare services are delivered?
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Applications and Advantages of Humanoid Robots in Healthcare:
  1. Assistive Care: Humanoid robots can assist the elderly or those with disabilities in daily activities, ensuring their safety and providing companionship.
  2. Surgery Assistance: They can aid surgeons in precise operations, especially in minimally invasive procedures, increasing accuracy and reducing patient recovery time.
  3. Rehabilitation: Robots aid in physical therapy, helping patients recover motor skills after incidents like strokes.
  4. Drug Delivery & Routine Checks: In hospitals, humanoid robots can distribute medications and conduct regular patient check-ins, minimizing the risk of infections like COVID-19.
  5. Mental Health & Therapy: Robots like PARO have been used as therapeutic tools, especially for dementia patients, to reduce stress and improve mood.
  6. Training & Education: Humanoids can simulate patients for medical training, offering a risk-free environment for medical students to learn.
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The development and deployment of humanoid robots bring forth various ethical considerations. Could you outline some of the key ethical dilemmas that researchers, policymakers, and society at large must grapple with as these robots become more integrated into our daily lives? How are these concerns being addressed in the design and regulation of humanoid robotics?
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Deployment of humanoid robots can increase social inequalities and disparities in education, healthcare, employment, etc.
Vey interesting articla on this topic '"Regulation and Entrainment in Human-Robot Interaction' Dr. Cynthia Breazeal MIT Artificial Intelligence Lab
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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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What do you think about ChatGPT and ways it's been using?
Few new uses of ChatGPT:
1.- https://cleanup.pictures/ Remove unwanted objects from #photos, people, text, and defects from any picture. 2.- www.resumeworded.com Online #resume and #Linkedln grader instantly scores your resume and Linkedln profile and gives you detailed feedback on how to get more opportunities and interviews. 3.- https://soundraw.io/ Soundraw is a #music generator for creators. Select the type of music you want genre, instruments, mood, length, etc and let Al generate beautiful songs for you. 4.- www.looka.com Design a #Logo, make a #website, and create a #brand identity you'll love with the power of Al. 5.- www.copy.ai Get a great copy that sells. #Copy.ai is an Al-powered #copywriter that generates high-quality copy for your business.”
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Academics are very likely aware of the emergence and rapid growth of accessible and user-friendly AI writing software, such as the popular ChatGPT, and its potential utility in academia. Much of the current discourse from academics highlights fears about a rise in academic misconduct, but it would be remiss to ignore some of the potential advantages of AI.
Here, we identify three potential roles that AI could play in bridging attainment gaps...
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Hello,
I have a specific question about VR and AR in professional use.
VR and AR can be used in controlling robots and machines. This is possible if the VR and AR devices and robots are networked together. I wonder how this can be used to help foreign employees understand the language better. After all, virtual control is precisely what reduces the need for language skills. Is there any opinion or scientific source on this?
Thanks a lot!
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Andreas K. If we combine VR/AR with glasses, we can do whatever we want, and your use case can also be covered. The biggest problem will be connected to the projected information, how it will be processed by our brain, and what side effects are caused.
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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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Hello RG,
I want to start my research in humanoid robots walking properly. Is there any cheap humanoid robot platform that I could use for research? I heard about the UBTech robot, what do you guys think? do not say NAO Robot/Robotis OP2 or 3, they are out of my budget. Thank you
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Unfortunately, there is no cheap alternative, Nonetheless, Promobot claims that it may be beneficial in both households and businesses. The robot costs between $20,000 and $50,000, depending on choices and customization. Join CNBC at the @ Work: People + Machines Summit in San Francisco on November 14 for more on technology, change, and the future of work.
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In my Project Design of Humanoid Robot I would like to simulate human walk. I am familiar with ADAMS but recently came across other softwares like V-Rep and Gazebo.
Could anybody tell me if there is any specific advantage of using ADAMS over V-Rep/Gazebo?
Thank You.
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combination of V-Rep and MATLAB will be perfect
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I am looking for a tool for drawing a humanoid robot model like in this image. Is there any recommended software for drawing this model?
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In my university, they used to draw using shape tools in PowerPoint, very easy. It is only a stick diagram.
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I plan to study humanoid robot dynamics during this semester's holiday. Are there any courses that I can join? so I can understand the topics quickly (ZMP, CoM, CoP, IK, FK, rotational matrices, etc)? My background is electrical engineering. Thank you
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If you want to study robotics, you need first master computer science, coding, physics, and linear algebra. From there, you may take robotics lessons, join clubs and compete in competitions, and improve your fundamental robotics skills over time.
However, the field of robots is as complex as it can be. However, if you have a strong desire to conquer the unfamiliar and the complicated, mastering robotics should be a breeze even in your mature years. Some of the reasons why you should start learning robotics right immediately are listed below.
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Will artificial neural structures become such advanced artificial intelligence that artificial consciousness will arise? Theoretically, such projects can be considered, but to really verify this, artificial neural structures should be created. From research on the human brain, it appears that this is a very complex and yet not fully understood neural structure. The brain has various centers, areas that manage the functioning of specific organs and processes of the human body. In addition, Sylvia is also complex and consists of elements of emotional, abstract, creative, etc. intelligence that also function in separate sectors of the human brain.
In view of the above, does research on the human brain and progress in the construction of ever more complex structures of artificial intelligence lead to synergy in the development of these fields of science? Will the development of these fields of science lead to the integration of research into the analysis of human brain activity and the construction of more and more complex structures of artificial intelligence equipped with elements of emotional, creative intelligence, etc.?
Besides, does the improvement of artificial intelligence lead to the emergence of artificial emotional intelligence and, consequently, to autonomous robots that will be sensitive to specific changes in environmental factors, factors of the surrounding environment? Will specific changes in the surrounding environment trigger programmed reactions of advanced artificial emotional intelligence, ie activation of pre-programmed algorithms of implemented activities and learning processes as part of improving the learning processes of machines.
Therefore, another important question arises in this area:
Is it possible to create an artificial consciousness that will function with the structure of an artificial electronic neural network built in such a way as to reflect the structure of the human brain? In this way, the structure of advanced artificial intelligence will be able to improve on the basis of acquired knowledge eg from external internet databases?
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
Will it be possible to build artificial emotional intelligence?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Dear Baydaa A. Hassan,
I also wish you good luck and invite you to our discussion.
Thank you, Regards,
Dariusz Prokopowicz
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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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We call Donald Trump and Boris Johnston and his cat and the mice that the cat hunts and the fleas on the mice and the coronavirus etc LIVING. But Boris's desk and his TV and the computer program that beats him at chess and and his electronic android servant (soon!) and windmills (cf Don Quixote) and holograms and ghosts we call NOT LIVING. But what is the difference? As a mathematical kind of person I would really like to know ... and rather precisely... it matters for agent based modelling etc
Note -- the difference is surely not about reproduction -- computer programs and machines can easily generate and distribute copies of themselves.
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As was clearly described by Eugene Veniaminovich Lutsenko, material world is only part of the universe. Not the whole. Science is studying material things. The rest is expected to be non-existent.
The fact is that there is a piling evidence on the existence of the after-life or before-life where energies that we call spirits resides. When spirits enter the material world, they get accompanied by atoms.
Spirit can live without a body a.k.a. matter. Matter cannot become alive without a spirit that is making it alive.
Here we come to the important point: "What we spirits/souls?" Those are quantum fields that we are unable to detect by the current technology. Spirits are the oscillating specks within all encompassing field of the whole Universe.
After-life is a serious research subject that is working usually with deep hypnosis with regression of subjects into their past lives. Then researchers go and check all details and in the most cases find relatives of deceased who lived exactly same life as described by a person in regression. Such research was started by Dorothy Carron. There are followers like Newman and co-workers.
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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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We are modeling an HRI scenario in virtual reality using Unity and the Oculus Rift. Our problem is, though, that Unity only allows objects to be either kinematic or physics. This means, either we have a nicely running inverse kinematic model of a 6-DOF industrial robot, but struggle with physical-virtual interaction with objects, or we have a physically correct behavior of the robotic parts, but lose the inverse kinematic model.
Does anyone of you also work with Unity as a platform for HRI VR and came across these issues, too? 
Thank you very much in advance,
Jonas
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Hi Jonas,
I'm not quite familiar with the Unity-specific limitations, but have you considered controlling the robot from "outside" using a software-in-the-loop approach with a virtual robot controller or robot controller simulation module? Basically forget about modeling the kinematics (and dynamics etc.) in Unity, but mirror the internal robot model state from the VRC. We used that for simulation bin picking processes in Siemens NX MCD, also with physics enabled, and it worked just fine . Also, you get a much more realistic robot behavior, since it is controlled by the actual controller and program. However, you will not get a physical feedback to the real controller (joint torque etc.). If you want to imitate a collision detection through the robot for HRI topics, I would either add simulated force sensors to the robot and tool (if Unity supports that), or just use a collision-based setting of a variable/signal that triggers as a safety stop on the robot. See also here:
Greetings
Max
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Artificial intelligence will find application in many fields of services and industries. Currently, among scientists studying AI, the dominating opinion is that the development of artificial intelligence and robotics should not get out of control of humanity. The mentioned escape from the control of the development of artificial intelligence and robotics is understood as gaining independence and independence of the human being - the creator by intelligent machines, robots, equipped with artificial intelligence, able to autonomously and autonomously operate without human control.
In many novels and films of the science fiction genre, these types of black technological development scenarios are presented, in which robots are able to repair themselves, replicate themselves, produce further autonomous robots and rebel against a man, and declare war on a man. The most famous science fiction idea in this topic is "Terminator", "2001 Space Odyssey", etc. In my opinion, this type of science fiction visions will not materialize.
In my opinion, it is still too early to answer this question. In addition, it is not certain whether the humanity will survive until the end of the 21st century in connection with the progressing global warming, so perhaps there will simply be no time for such a far-reaching continuation of technological advances in the field of artificial intelligence and robotics.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
Can the development of artificial intelligence and robotics escape the human control?
Please reply
Best wishes
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In any means, we must not forget that AI is directly associated with wars and it is originally launched for the destruction of humanity.
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Different types of intelligence are studied and described, eg emotional intelligence is significantly different from classical intelligence. Intelligence is determined by various factors, both genetic and behavioral, developmental. In addition, the development of artificial intelligence, which in my opinion never matches human is done under the control of a human being, which means that the probability of realizing a negative development scenario of this technology presented in literature and film from the science fiction genre is small. It is unlikely that self-perfecting machines, which would be autonomous robots at the same time, would achieve a high level of intelligence, matching human intelligence and would rebel against people as demonstrated, for example, in science fiction movies from the "Terminator" series. Does anyone of you in this matter have a different opinion? If so, why?
Please, answer, comments.
I invite you to the discussion.
Best wishes
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Dear Thomas Anthony Troszak, Thank you very much for the rich, substantive information and explanations on the topic artificial intelligence. Thank you for the information provided and the link to interesting data in the above-mentioned issues. Very interesting considerations. I am very glad that the discussion on this important topic is developing.
Thank you very much and best regards, Have a nice day,
Dariusz Prokopowicz
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Are there futurological estimates when mass autonomous humanoid robots will be manufactured in series?
When mass-produced autonomous humanoid robots will be produced in series, that is, futurological visions known from such science fiction novels and movies as "I. Robot", "AI Artificial Intelligence", "Ex Machina", "Chappie", "Bicentennial Man", "Star Wars", "Star Trek", etc.?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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...To increase the autonomy of humanoid robots, the visual perception must support the efficient collection and interpretation of visual scene cues by providing task-dependent information.... Grotz, M., Habra, T., Ronsse, R., & Asfour, T. (2017, September). Autonomous view selection and gaze stabilization for humanoid robots. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1427-1434). IEEE.
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Can someone explain to me the benefits from having a relationship with AI? And also the things we should worry about?
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I am mathematician and love AI (Mathematics & AI is as body and soul), mainly during my PhD in AI which was based on mathematical/statistical modeling for applications in computer vision. During my PhD training, my main concern was, on how to utilize and bridge AI with mathematical/statistical modeling for automatic patter recognition. To me it is really the ever thrilling fun in scientific world. For a mathematician when working in AI, obtaining fast computations and visualization with instant observations by experiments is really a fun-play.
I do not see any drawbacks of AI. It is a problem solver technique in faster and optimal way, so drawback is no point either. Concerning to its pros & cons, I would like to say, it is by the user well, how they use it?
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There have been many emotion space models, be it the circumplex model or the PANA model or the Plutchik's wheel. But all of them are used to represent human emotions in an emotion space. The definitions for arousal and valence are easy to interpret as human beings as we have some understanding of pleasant/ unpleasant or intense/non intense stimuli. However, how can we define the same for a robot? What stimuli should be considered as Arousing and what should be Pleasant for a robot? I am interested in reading the responses from researchers in the field and having a discussion in this area. Any reference to relevant literature would also be highly appreciated.
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Hi,
I am looking to work with the NAO humanoid robot in my Masters thesis and looking for various application areas and incorporating state-of-the-art technologies for solving a problem. Your suggestions will be very helpful.
Thanking you.
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Mayuresh Amberkar okay something a bit ambitious but actually it was something I wanted to do few years ago but I gave up because not enough time and the technology was not there.
You can consider a CNN which is detecting the face expression/emotion (or some body attitude in case of elders) and produce either:
- Motion of the Nao body either mimicking the emotion that was detected or something different in order to change the mood of person
- Synchronize the body motion with a specific speech - try to change the tone if you can because it is an important factor in the voice that can influence the mood of the receptor.
You have an full loop between perception and action (kinematics) and an interesting area of research at the intersection of psychology and robotics.
Cheers
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I am making a humanoid robot where smooth walking is a challenging work. I have done the basic walking, but I should make it more smoother. Obviously, sensors like Gyroscope and Accelerometer are helpful to perform this task. Which of these sensors should I use?
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Accelerometer alone should be more than enough for such task as it has been used widely in activity recognition studies. If I were you, I would start with the accelerometer only and collect data from experiments to what you consider "smooth walking" for your robot. You could also try extracting time/ frequency features from the accelerometer data and use that to compare between desirable vs undesirable walking.
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Is there any probabilistic study on When/If Artificial Intelligence may take over the humanity?
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There is a very good book, published in 2018, and named "Hello World: How to be Human in the Age of the Machine", It might help.
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Dear all,
I have a problem about finding current studies about my project which is related with humanoid robot head. Actully my question is not specific for this subject but it s general question for all fields of science. I am trying to find the latest study with using references of related papers, however I cannot find the last limit of it.
Thanks to all
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Hi,
The latest studies in any subject are indexed in Google Scholar. The next best thing is to search a relevant database in your research area. You may try locating new material on ArXiv, which is a preprint database for physics , mathematics , computer science and other sciences. This repository is free on the net and you could locate there material before it is published in a formal journal.
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  • the advantages of investigastin on humanoid robots...
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Most of the applications I see are educational. In addition, it has applications in medicine, therapies, among others.
I recommend checking the papers of the IEEE-RAS International Conference on Humanoid Robotics (Humanoids).
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So far I found these papers. I think the last two are not so well reputed Journals.
Title: Social Robots for Long-Term Interaction: A Survey
Year: 2013
Journel/conference: International Journal of Social Robotics
Title: A Systematic Review of Adaptivity in Human-Robot Interaction
Year: 20 July 2017
Journal/conference: Multimodal Technologies and Interaction — Open Access Journal
file:///C:/Users/20174715/Downloads/mti-01-00014-v2.pdf
Title: A review on humanoid robots
Year: 7 February 2017
Journal/Conference: International Journal of Advanced and Applied Sciences
I would highly appreciate your help
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Dear Tahir,
I suggest you to see links in topic.
Human–Robot Interaction: A Survey - CNRS
-Socially intelligent robots: dimensions of human–robot interaction
-Robots Working with Humans or Humans Working with Robots? - MDPI
-Human–Robot Interaction: Status and Challenges ... - SAGE Journals
-Computational Human-Robot Interaction - Now Publishers
-Human-Robot Interaction | The Encyclopedia of Human-Computer ...
-Conference program - Human-Robot Interaction
-Journal Club — Social Robots
-HRI - ``In the wild'' In Rural India - Social Robots in the Wild
Best regards
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The Green IoT offers excellent platform to support Industrial Automation using Humanoid Robotics in Cyber Physical Systems and Critical Infrastructures.
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Dear Eduard,
I suggest you to see links in topic.
-Innovation Potentials and Pathways Merging AI, CPS, and IoT - MDPI
-A blockchain future to Internet of Things security: A position paper ...
-The Internet of Robotic Things: A review of concept ... - SAGE Journals
-Industry 4.0: the fourth industrial revolution - guide to Industrie 4.0
-Mobile Cyber Physical Systems: Current Challenges ... - IEEE Xplore
-Prospects of robotics in food industry - Scielo.br
-The Future Internet of Things and Security of its Control Systems - arXiv
-Robotics and industrial automation enabled by 5G - Ericsson
Best regards
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For one stride how can I get the max height that human can achieve when walking on a flat surface and its position at the x-axis.
Thanks in advance.
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If you are asking in the swing phase of gait I like that recommended article "Sagittal Gait Synthesis for a Five-Link Biped Robot ". If it is during the stance phase of gait this is variable based on many factors: Gastroc tightness, pes planus vs pes cavus, and joint positions of the extremity above the ankle in the extremity.
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What progress was made in the field of Humanoid Robotics and what are the future research directions in bridging the AI & Robotics?
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Looking at what some popular humanoid robots could do, we can see the progress in this field is quite impressive. I supposed Sophia (social robot) can be used as a benchmark in this case (robotic science).. and she even obtained her citizenship lately
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Impact of longer stay in the space shuttle has significant health impact on cosmonauts, with essential long term recovery after returning back to Earth. Havin Humanoid Spatial Robots insted of Human might be way to move forward with much longer flights and depper space exploration.
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The design of humanoid robots involves significant challenges which include the scope for self recharge, automatic restoration to adjust to varied climatic conditions and serious issues related to control aspects.
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Having a Robot at home may be considered today as having a machine that has no features to interact with pepole intellectually not emotionally. Given the current and future research and technological advancements the futuristics Humanoid Robots will be able to interact with people both intellectually and emotionally. Will they be ever accepted as home companions or will the be for ever considered just as machines and electro mechanical tools?
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Have you noticed being somewhat dependent or attached to your domestic robot? It is truly smart? Can you use it as your phone, TV, Health Support, Car and Garage controller, Gardener, plus....? Or it is just a simple Robot that performs very specific tasks?
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Surely, anyone who has a smartphone, tablet, laptop or PC, has some degree of dependency or even some kind of attachment to these computational devices. Yet, these so-called smart computational devices are far from possible degree of intelligence and smartness of Futuristic Smart Humanoid Robots.
The Future Smart Humanoid Robots will have all the computational capabilities of today's Smart Computational Devices, and far beyond. The future Smart Humanoid Robots will become essential part of daily life. Just imagine having lost or stolen your "Smart" Phone, Tablet, Laptop, or PC with all your private data.
They may become a essential platform to future education, work, health support, house safety, financial security, and far beyond.
This would naturally be quite difficult experience, even for a elementary or high school student, never mind being an Army General or Government Official.
If there is a degree of dependency on so-called smart computational devices today, imagine what degree of dependency could be on Futuristic Smart Humanoid Robot(s), and what kind traumatic experience one may live through if it get lost or stolen?
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Dear Artur, thank you. Indeed, so many questions and so many excellent answers. At this point in my career, I take interest in things that I did not have time to investigate or study in depth. There was always so many other other thing to study, discover and understand. Somehow I wish I could be very young again so that I can start learning so many wonderful and fascinating subjects. Mind, I did learn little bit of sixteen foreign languages , and did all complete all degrees possible, and yet, I am somewhat disappointed that I missed so many other things.
Dear Kirk, I agree the Human Spirit is far beyond machines and always will be. It is people who may choices based on their own set of values and believes. Machine can only do what they were programmed to do and indeed not reason like human. The future surely will bring lot of advancements in AI, Robotics, Automation, Bio-technologies, plus much more, but will be it be enough to conquer Human Spirit, I found it difficult to believe.
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Hi, Would you mind adding me as a collaborator to the ATTEND project?
Thanks,
Laurent
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I would also request the same. If its possible, I would to like to explore goals of this project together and collaborate 
Thanks
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Projects for Speech Recognition; prototype and small applications preffered in Delphi
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Sphinx is a flexible framework for research in speech recognition. use that
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I intend to purchase a  magnetoelectric measurement unit. My budget is around 30,000 USD. Can anybody please suggest me any brand/company? Thanks in advance. 
Dr. Basith 
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Thanks Mr. Avisek. Yes, I have a connection with them, they supplied me P-E loop tracer. Thank you very much once again.
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Note in particular are you interested in the case where the rover may at times operate autonmously and at other times as a teleoperator while storing data for an astronaut user in a remote location, ie one of Mar's moons?
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This project is an engineer's dream. It has elements that require the project team members to creatively blend established (even old) techniques with new ones, in "outside the box" ways. Teleoperation in real-time is not possible, so giving detailed directions to the onsite exploration vehicle won't work. So, develop primitive routines that can be strung together like beads using higher-level commands. The rover should understand general commands from mission control, like "explore quadrant G31 and report", leaving details of how to accomplish that task to itself. An expert system would be an excellent starting point, with the "experts" being the development engineers and scientists. The rover sensors would allow monitoring planning and execution. Any exceptions to a routine, such as bumping into a rock, or approaching a precipice, would be reflected to control on Earth, to facilitate improvement to existing routines and addition of new ones. Then, creating a "curiosity" attribute to blend a variety of exploration methods would be helpful. How would a robot look for interesting planetary features and objects, or avoid weather? Imitating human behavior is a great place to start: nature has provided the plan. I gave a 3-hour presentation at MIT on this approach 7 years ago: “Tutorial: Biologically-Inspired Object-Oriented Design & Object-Oriented Programming for Robotics and Artificial Intelligence”, 15th IASTED Intl Conf on Robotics & Applic, MIT, Cambridge MA, Nov 1-3, 2010. I've given 26 presentations at NASA Houston since 2006, most involving artificial intelligence and robotics for space applications.
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I want to calculate the speed of humanoid robot, So How can I do?
Thanks in advance.
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Hi Nour,
Generally the velocity of the robot trank is not constant during the walking motion. The velocity changes depending on the Trank position with respect to the position of the standing foot.
You can determine the average velocity simply by measuring the step length and divide it by the time needed to take the step.
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I am a post-doc fellow and have used and study (in my research) two additional tools to the ones you included in your planned workshop. They include government online forums and "walking interviews". Would these potentially interest you?
Best,
Yael Teff-Seker (Ph.D.)
Technion
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Hello technion,
Indeed, I need to see and experiment with other methods and tools of work. I will be glad to see what you have done as part of your research.
Thanks in advance
Maurice
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he is professor emeritus, nihon university, tokyo
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i did colleborative research with dr. akihisa, ninon university
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By directional communication, I mean if a single ping is sent, the receving system should be able to perceive which direction it is coming from.
EDIT: As for scale, what if we are talking about several robots (tiny bots like thymios for example) in the same room?
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Microwave or mm-wave would be perfectly good - broadband best.  It is not speed that matters but wavelength.  Look up monopulse accuracy, for instance.  You will need a spread of wavelengths or a spread of antennas to get accurate direction in a room.  You will need some kind of range discrimination otherwise you also locate the directions of the reflections of things in walls,  like being in a hall of mirrors.  Range discrimination requires either a spread of wavelength or widely separated antennas or a bit of both.
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Hi
My humanoid robot have 14 degrees of freedom in total. each leg have 6 DoF and waist have 2 DoF.
I want to study about control of it and I need the method for generate a model for Dynamic of it Using Denavit-Hartenberg method.
Can someone Help me what reference I should study.
Thanks a lot
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Hi, How can we do footstep planning for humanoid robot under ROS or webots environments. Kindly suggest. Any good approach for step length, direction and goal position from start and stop position.
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Hi Anil: 
You can consider this problem as a kind of 2D motion planning. Assuming the lenght and the turning you can perform with each step known (which will be different for each model of humanoid robot), you can model your problem as a graph where the states are the poses of your feet and the arcs the connectivity between these states (i.e. if you are in a certain position you can advance an step, turn right or turn left, which leads your robot to have a new pose for each one of the feet). You can use the information of the robot state to check possible collisions in the known map. This way to model the problem creates a graph in which you can search using a discrete search algorithm like A*, ARA* or AD* (if you are interested in replanning too). 
I've used this approach successfully in wheeled robots and UAV's, and it would be easily applicable to navigate with humanoid robots too. If you take a look to the publication I attach you maybe you can find some useful information about this approach Sections III to V. Even if in this case it is applied to a wheeled robot you can adapt it easily for a humanoid.
I hope my answer helps you.
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Maybe Afforts to create a model for human behavior and movements and even feelings and reactions based on a mathematical equations is one of my interests in my future research life.
So I wanna see if there were any clues on this area which help me to make robats that just act like a human do on different situations to start my investigation on it??
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... That's an interesting idea. With AI, we are so busy trying to make algorithms perfect. But to emulate human intelligence I guess we should focus on other behaviours - temptation, jealousy, lust, greed, etc. 
I think "forgetting" is a good example - it is generally considered to be undesirable, but I'm pretty sure it is an essential part of intelligence and the learning process. 
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I am working on humanoid path planning and completed with algorithm testing in matlab....now I need to test it in physics simulators so that I can validate my results. Openrave seems to be very good option for my algorithms....but I could not find any humanoid model as example file in Openrave installation.....are they available in the internet or do I have to create a model by myself.....thanks in advance.
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for low dimensional configurations goal can be inferred from IK solution of given cartesian space goal constraint, but for a very high DOF system like biped(21-DOF's in my case) even deriving analytical expressions of Forward Kinematics (for the purpose of finding IK by gradient descent method) is cumbersome.....Is there any alternate method to do that.....thanks in advance.
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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, Dr ZOL BAHRI - Universiti Malaysia Perlis, MALAYSIA
BNT-BKT-BT. Available from: https://www.researchgate.net/post/BNT-BKT-BT#view=54f68badd3df3ee77c8b4638 [accessed May 7, 2015].
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Imagine you want to design X modules which you would use to create robots. how many modules would you develop and each ones? The aim is to be able to set up a maximal number of application robots from this modules.
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Hi
You can think a module as a complete actuation, sensing and control.
If you are considering an industrial manipulator, then you need,
a model for each category of rotational joints (waist, elbow and shoulder joints)
a model for each category of prismatic joints (orthogonal and coo-linear)
an End effector module (male-female connection)
This mean you need 5 modules for the joints and one for the end effector.
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I am trying to classify motion(i.e walking, under different peturbation forces) using accelerometer(x,yz) and gyroscope(x,y,z) values using DTW algorithm but due to the noisy nature of these sensors on a nao robot I have been thus far unsuccessful, I wanted to ask for suggestions/pointers on possible filtering techniques I could use to minimize this noise.Thanks
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Dear Saqib
Just to simplify some of explanations above, you can simply smooth your data by way of averaging the accelerometer output samples. That is you can add two, three or more accelerometer output samples at a time and divide by number of samples in the block to get the average each set of sample blocks. Each block or bundle average is then your new (smoothed) output sample. 
This is known as smoothing or averaging and is equivalent to low pass filtering in the frequency domain. The more samples you use to compute a new sample average, the lower the cut-off frequency of your low-pass filter, and the smoother your accelerometer data will be. 
Dont use too many samples to compute the average then, you may lose abrubt changes in your measurement that may be important. To put it in another way, too many samples in each smoothing block may result in the loss of important high frequency responses in your measurement. 
Regard
Gerro
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I use KINECT to collect the human demonstrator's data.
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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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