Journal of Robotics, Networking and Artificial Life

In Press, Corrected Proof, Available Online: 6 June 2021

Kinematic Modeling and Simulation of Dual-Arm Robot

Authors
Jiwu Wang, Junxiang Xu*
School of Mechanical and Electronic Engineering, Beijing Jiaotong University, Beijing, Haidian District, China
*Corresponding author. Email: 19121251@bjtu.edu.cn
Corresponding Author
Junxiang Xu
Received 2 December 2020, Accepted 22 April 2021, Available Online 6 June 2021.
DOI
https://doi.org/10.2991/jrnal.k.210521.013How to use a DOI?
Keywords
Dual-arm robots, real-time, inverse kinematics, simulation
Abstract

In recent years, dual-arm robots have attracted more and more attention due to their advantages such as strong cooperation ability and high flexibility. With the improvement of real-time requirement of dual-arm cooperation, the inverse kinematics solution of robot becomes a key problem to be solved urgently. To solve the time-consuming problem of inverse kinematics of robot arm, a closed inverse kinematics solution algorithm for humanoid dual-arm robot was proposed. The effectiveness of the algorithm was verified by simulation.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Publication Date
2021/06
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.210521.013How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Jiwu Wang
AU  - Junxiang Xu
PY  - 2021
DA  - 2021/06
TI  - Kinematic Modeling and Simulation of Dual-Arm Robot
JO  - Journal of Robotics, Networking and Artificial Life
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.210521.013
DO  - https://doi.org/10.2991/jrnal.k.210521.013
ID  - Wang2021
ER  -