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/).
Cite this article
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 -