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First International Conference on Advances in Computer-Human Interaction
Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm
February 10-February 15
ISBN: 978-0-7695-3086-4
ASCII Text
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Nguyen Hoang Viet, Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung, "Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm," International Conference on Advances in Computer-Human Interaction, pp. 285-289, First International Conference on Advances in Computer-Human Interaction, 2008.
 
 
BibTex
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@article{ 10.1109/ACHI.2008.42,
author = {Nguyen Hoang Viet and Ngo Anh Vien and SeungGwan Lee and TaeChoong Chung},
title = {Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm},
journal ={International Conference on Advances in Computer-Human Interaction},
volume = {0},
year = {2008},
isbn = {978-0-7695-3086-4},
pages = {285-289},
doi = {http://doi.ieeecomputersociety.org/10.1109/ACHI.2008.42},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Conference on Advances in Computer-Human Interaction
TI - Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm
SN - 978-0-7695-3086-4
SP285
EP289
A1 - Nguyen Hoang Viet,
A1 - Ngo Anh Vien,
A1 - SeungGwan Lee,
A1 - TaeChoong Chung,
PY - 2008
KW - path planning
KW - multi colony ant algorithm
VL - 0
JA - International Conference on Advances in Computer-Human Interaction
ER -
 
The task of planning trajectories for a mobile robot has received considerable attention in the research literature. The problem involves computing a collision-free path between a start point and a target point in environment of known obstacles. In this paper, we study an obstacle avoidance path planning problem using multi ant colony system, in which several colonies of ants cooperate in finding good solution by exchanging good information. In the simulation, we experimentally investigate the behaviour of multi colony ant algorithm with different kinds of information among the colonies. At last we will compare the behaviour of different number of colonies with a multi start single colony ant algorithm to show the good improvement.
Index Terms:
path planning, multi colony ant algorithm
Citation:
Nguyen Hoang Viet, Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung, "Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm," achi, pp.285-289, First International Conference on Advances in Computer-Human Interaction, 2008
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