Название: AI based Robot Safe Learning and Control Автор: Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv Издательство: Springer Год: 2020 Формат: PDF Страниц: 144 Размер: 10 Mb Язык: English
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.
Robot Manipulators, Trends and Developmen Название: Robot Manipulators, Trends and Development Автор: Jimenez Agustin Издательство: In-Teh Год: 2010 Формат: pdf Страниц: 666 Размер: 26.06 Мб...
Parallel Robots: Mechanics and Control Название: Parallel Robots: Mechanics and Control Автор: Hamid D. Taghirad Издательство: CRC Press Год: 2013 Формат: True PDF Страниц: 526 Размер:...
Robot Motion and Control 2011 Название: Robot Motion and Control 2011 Автор: Krzysztof R. Kozlowski, editor Издательство: Springer Год: 2012 Формат: PDF Для сайта: Mirknig.su ...
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AI based Robot Safe Learning and Control 
