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

doab (5).jpg

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.

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