AI based Robot Safe Learning and Control / / by Xuefeng Zhou, Zhihao Xu, Shuai Li, Hongmin Wu, Taobo Cheng, Xiaojing Lv.
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...
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| Place / Publishing House: | Singapore : : Springer Singapore :, Imprint: Springer,, 2020. |
| Year of Publication: | 2020 |
| Edition: | 1st ed. 2020. |
| Language: | English |
| Physical Description: | 1 online resource (XVII, 127 p. 42 illus., 35 illus. in color.) |
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Table of Contents:
- Adaptive Jacobian based Trajectory Tracking for Redundant Manipulators with Model Uncertainties in Repetitive Tasks
- RNN based Trajectory Control for Manipulators with Uncertain Kinematic Parameters
- RNN Based Adaptive Compliance Control for Robots with Model Uncertainties
- Deep RNN based Obstacle Avoidance Control for Redundant Manipulators .