Briefly Revisit Kinematic Control of Redundant Manipulators via Constrained Optimization release_76uy3qakrjaendujdn7elfwa3e

by Bolin Liao, Jianfeng Li, Shuai Li, Zhan Li

Published in EAI Endorsed Transactions on AI and Robotics by European Alliance for Innovation n.o..

2022   p1-7

Abstract

Redundant manipulators are widely utilized in numerous applications among various areas in industry and service. Redundant manipulators take advantage of their inherent or acquired redundancy to achieve certain benefits in kinematic control. Different from non-redundant manipulators, optimization paradigms are more likely to be established and may be more efficient for kinematic control issues in redundant manipulators. In this paper, we revisit the perspective and methodology on constrained optimization paradigms for kinematic control of redundant manipulators.
In application/xml+jats format

Archived Files and Locations

application/pdf  1.2 MB
file_7qoxh7zsjjfbzh7v7ieeso4uva
publications.eai.eu (web)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2022-02-02
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: fcd2a298-d25b-4ff5-a8ad-d0ae94b1c178
API URL: JSON