AI based Robot Safe Learning and Control
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Ebooks |
| Published: |
Springer Nature,
2020.
|
| Subjects: | |
| Online Access: | Get Fulltext |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01131 am a22001813u 4500 | ||
|---|---|---|---|
| 001 | oer_unej_179 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a ZHOU, Xuefeng |e author |
| 245 | 0 | 0 | |a AI based Robot Safe Learning and Control |
| 260 | |b Springer Nature, |c 2020. | ||
| 500 | |a http://oer.library.unej.ac.id//index.php?p=show_detail&id=179 | ||
| 500 | |a 000 | ||
| 520 | |a 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. | ||
| 546 | |a en | ||
| 690 | |a Computers | ||
| 690 | |a 000 | ||
| 655 | 7 | |a Text |2 local | |
| 856 | 4 | 1 | |u http://oer.library.unej.ac.id//index.php?p=show_detail&id=179 |z Get Fulltext |