AI based Robot Safe Learning and Control (eBook)

Taobo Cheng, Shuai Li, Xiaojing Lv, Hongmin Wu, Zhihao Xu, Xuefeng Zhou (Autoren)

eBook Download: EPUB

2020 | 1st ed. 2020
XVII, 127 Seiten
Springer Singapore (Verlag)
978-981-15-5503-9 (ISBN)

Infos

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 undergraduateand graduate students in colleges and universities.

Produkt-Details

• Erscheint lt. Verlag: 2.6.2020
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: Adaptive Control • Deep Reinforcement Learning • Force control • Obstacle Ovoidance • open access • Recurrent Neural Network • Safe Control • Trajectory Tracking
• ISBN-10: 981-15-5503-6 / 9811555036
• ISBN-13: 978-981-15-5503-9 / 9789811555039