Research on Path Planning for Humanoid Robot based on Ant Colony Algorithm

DOI

10.2991/csss-14.2014.73How to use a DOI?

Keywords

humanoid robot; path planning; ant colony algorithm

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -