Proceedings of the 3rd International Conference on Computer Science and Service System

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

Authors
Xiaoliang Zhang, Qiubo Zhong
Corresponding Author
Xiaoliang Zhang
Available Online June 2014.
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/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
978-94-6252-012-7
ISSN
1951-6851
DOI
10.2991/csss-14.2014.73How to use a DOI?
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/).

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  -