Research on Path Planning for Humanoid Robot based on Ant Colony Algorithm
Xiaoliang Zhang, Qiubo Zhong
Available Online June 2014.
- 10.2991/csss-14.2014.73How to use a DOI?
- humanoid robot; path planning; ant colony algorithm
In order to solve the complex problems in path planning of humanoid robot, an algorithm model based on ant colony algorithm is proposed. The robot simulation modeling environment is formed by the grid. The idea of the algorithm is simulating the process of ants foraging, and many ants complete optimal path search by collaborate with each other to pass the pheromone to find food. Through simulation experiments, we achieved better results. Satisfactory results are achieved by made experiments on the humanoid robot NAO, and the algorithm are verified finally.
- © 2014, 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 - Xiaoliang Zhang AU - Qiubo Zhong PY - 2014/06 DA - 2014/06 TI - Research on Path Planning for Humanoid Robot based on Ant Colony Algorithm BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 310 EP - 313 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.73 DO - 10.2991/csss-14.2014.73 ID - Zhang2014/06 ER -