Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Trajectory Planning for 6-DOF Robotic Arm Based on Quintic Polynormial

Authors
Xiaojie Zhao, Maoli Wang, Ning Liu, Yongwei Tang
Corresponding Author
Xiaojie Zhao
Available Online June 2017.
DOI
10.2991/caai-17.2017.23How to use a DOI?
Keywords
robotic arm; trajectory planning; 6-DOF; polynomial
Abstract

The paper deals with research on polynomial trajectory planning for 6-DOF robotic arm. On the basis of kinematics analysis, we carried out trajectory planning and simulation of joint space. Through the trajectory planning diagrams of MATLAB simulation on the two methods, the results showed that quintic polynomial is better than cubic polynomial in the effect of planning. As a result, this method used in six degrees of freedom industrial robot trajectory planning is feasible.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/caai-17.2017.23
ISSN
1951-6851
DOI
10.2991/caai-17.2017.23How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaojie Zhao
AU  - Maoli Wang
AU  - Ning Liu
AU  - Yongwei Tang
PY  - 2017/06
DA  - 2017/06
TI  - Trajectory Planning for 6-DOF Robotic Arm Based on Quintic Polynormial
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 115
EP  - 118
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.23
DO  - 10.2991/caai-17.2017.23
ID  - Zhao2017/06
ER  -