AI based Robot Safe Learning and Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI based Robot Safe Learning and Control write by Xuefeng Zhou. This book was released on 2020-06-02. AI based Robot Safe Learning and Control available in PDF, EPUB and Kindle. This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.
AI Based Robot Safe Learning and Control
AI Based Robot Safe Learning and Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI Based Robot Safe Learning and Control write by Xuefeng Zhou. This book was released on 2020-10-09. AI Based Robot Safe Learning and Control available in PDF, EPUB and Kindle. This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors' papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
AI Based Robot Safe Learning and Control
AI Based Robot Safe Learning and Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI Based Robot Safe Learning and Control write by Xuefeng Zhou. This book was released on 2020. AI Based Robot Safe Learning and Control available in PDF, EPUB and Kindle.
Learning for Adaptive and Reactive Robot Control
Learning for Adaptive and Reactive Robot Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning for Adaptive and Reactive Robot Control write by Aude Billard. This book was released on 2022-02-08. Learning for Adaptive and Reactive Robot Control available in PDF, EPUB and Kindle. Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
L1 Adaptive Control Theory
L1 Adaptive Control Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook L1 Adaptive Control Theory write by Naira Hovakimyan. This book was released on 2010-09-30. L1 Adaptive Control Theory available in PDF, EPUB and Kindle. Contains results not yet published in technical journals and conference proceedings.
