A Behavior-based Robot Control System Using Adaptive Heuristic Critic Learning - 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 A Behavior-based Robot Control System Using Adaptive Heuristic Critic Learning write by Ömer Sinan Saraç. This book was released on 2002. A Behavior-based Robot Control System Using Adaptive Heuristic Critic Learning 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.
Behavior-based Robotics
Behavior-based Robotics - 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 Behavior-based Robotics write by Ronald C. Arkin. This book was released on 1998. Behavior-based Robotics available in PDF, EPUB and Kindle. Foreword by Michael Arbib This introduction to the principles, design, and practice of intelligent behavior-based autonomous robotic systems is the first true survey of this robotics field. The author presents the tools and techniques central to the development of this class of systems in a clear and thorough manner. Following a discussion of the relevant biological and psychological models of behavior, he covers the use of knowledge and learning in autonomous robots, behavior-based and hybrid robot architectures, modular perception, robot colonies, and future trends in robot intelligence. The text throughout refers to actual implemented robots and includes many pictures and descriptions of hardware, making it clear that these are not abstract simulations, but real machines capable of perception, cognition, and action.
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 2020-06-02. 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.
Behavioral and Cognitive Robotics: An adaptive perspective
Behavioral and Cognitive Robotics: An adaptive perspective - 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 Behavioral and Cognitive Robotics: An adaptive perspective write by Stefano Nolfi. This book was released on 2021-01-15. Behavioral and Cognitive Robotics: An adaptive perspective available in PDF, EPUB and Kindle. This book describes how to create robots capable to develop the behavioral and cognitive skills required to perform a task through machine learning methods. It focuses on model-free approaches with minimal human intervention in which the behavior used by the robots to solve their task and the way in which such behavior is produced is discovered by the adaptive process automatically, i.e. it is not specified by the experimenter. The book, which is targeted toward researchers, PhD and Master students with an interest in machine learning and robotics: (i) introduces autonomous robots, evolutionary algorithms, reinforcement learning algorithms, and learning by demonstration methods, (ii) uses concrete experiments to illustrate the fundamental aspects of embodied intelligence, (iii) provides theoretical and practical knowledge, including tutorials and exercises, and (iv) provides an integrated review of recent research in this area carried within partially separated research communities.
