Robot global path planning based on improved ant colony algorithm
Authors
Rui Wang, Jinguo Wang, Na Wang
Corresponding Author
Rui Wang
Available Online August 2015.
- DOI
- 10.2991/ic3me-15.2015.182How to use a DOI?
- Keywords
- Mobile robot, Global Path planning, Ant colony algorithm
- Abstract
In this paper, we present a path planning for mobile robot based on improved ant colony optimization algorithm. In order to increasing the algorithm’s convergence speed and avoiding to fall into local optimum, we proposed updating the pheromone residues. Experiments show that this method is effective and feasible.
- 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 - Rui Wang AU - Jinguo Wang AU - Na Wang PY - 2015/08 DA - 2015/08 TI - Robot global path planning based on improved ant colony algorithm BT - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering PB - Atlantis Press SP - 946 EP - 949 SN - 2352-5401 UR - https://doi.org/10.2991/ic3me-15.2015.182 DO - 10.2991/ic3me-15.2015.182 ID - Wang2015/08 ER -