AI based Robot Safe Learning and Control
Dublin Core
Title
AI based Robot Safe Learning and Control
Subject
Computers
Description
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.
Creator
Zhou, Xuefeng --- Xu, Zhihao --- Li, Shuai --- Wu, Hongmin --- et al.
Source
-
Publisher
Springer Nature
Date
2020
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Zhou, Xuefeng --- Xu, Zhihao --- Li, Shuai --- Wu, Hongmin --- et al., “AI based Robot Safe Learning and Control,” Open Educational Resource (OER) - USK Library, accessed April 24, 2025, http://202.4.186.74:8004/oer/items/show/5151.