An Improved Ant Colony for Servo Mechanical Arm Path Planning

DOI

10.2991/isrme-15.2015.291How to use a DOI?

Keywords

Ant Colony Algorithm; Servo Mechanical Arm; Path Planning

Abstract

On account to the restriction of basic ant colony algorithm when the working platform is smaller and the block is approximately the same size as the target, the improved ant colony algorithm is put forward to the path planning of servo mechanical arm. In this paper, the effect of the compartmentalize grid size to path planning speed and accuracy has been discussed. It also presents an improvement of the methods of local and global information updating. Finally, the range of ants’ visual field has been enlarged. The experiment results show that the improved ant colony algorithm could find optimized path in shorter time. In terms of achieving functions of avoidance obstacle and the global searching, the proposed algorithm over performs conversional ones.

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/).

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TY  - CONF
AU  - Hong Zhang
AU  - Lin Li
PY  - 2015/04
DA  - 2015/04
TI  - An Improved Ant Colony for Servo Mechanical Arm Path Planning
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1447
EP  - 1450
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.291
DO  - 10.2991/isrme-15.2015.291
ID  - Zhang2015/04
ER  -