PSO based Multi-robot Formation Control
Authors
Guo-qing Qiu, Fang-yan Li, Nian-ci Liu, Jian Wu
Corresponding Author
Guo-qing Qiu
Available Online December 2015.
- DOI
- 10.2991/icmmcce-15.2015.462How to use a DOI?
- Keywords
- Dynamic obstacle, particle swarm optimization, multi-robot, mixed formation control.
- Abstract
Aiming at the environment that contains dynamic obstacles, a new multi-robot formation control method is proposed. Leader-Following method is combined with artificial potential field method to solve the poor adaptability of formation. Meanwhile, the robots’ relevant parameters are optimized online by particle swarm optimization (PSO) algorithm. The simulation results show that the proposed method is effective and can solve the task of multi-robot formation control in a fantastic way.
- Copyright
- © 2015, 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 - Guo-qing Qiu AU - Fang-yan Li AU - Nian-ci Liu AU - Jian Wu PY - 2015/12 DA - 2015/12 TI - PSO based Multi-robot Formation Control BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SP - 981 EP - 985 SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.462 DO - 10.2991/icmmcce-15.2015.462 ID - Qiu2015/12 ER -