AI based Robot Safe Learning and Control
Overview & Synopsis
This 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.
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Document Information
| Document Title | AI based Robot Safe Learning and Control |
|---|---|
| Author / Organization | Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv |
| Subject & Discipline | Artificial Intelligence and Logic Programming, Robotics and Robot Programming, Machine Learning, Deep Learning and Neural Networks, Control Theory and Systems |
| Categories | Artificial Intelligence and Logic Programming |
| Publication Year | 2020 |
| ISBN | 9811555028 |
| License / Rights | CC BY 4.0 |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-258971 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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