Path Planning for Mobile Robot Based on Improved Ant Colony Algorithm

Rui Wang; Zai Tang Wang

doi:10.4028/www.scientific.net/AMM.385-386.717

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Path Planning for Mobile Robot Based on Improved...

Path Planning for Mobile Robot Based on Improved Ant Colony Algorithm

Abstract:

This paper presents a dynamic path planning method based on improved ant colony algorithm. In order to increasing the algorithm’s convergence speed and avoiding to fall into local optimum, we propose adaptive migratory probability function and updating the pheromone. We apply the improved algorithm to path planning for mobile robot and the simulation experiment proved that improved algorithm is viable and efficient.

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Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

717-720

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.717

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Online since:

August 2013

Authors:

Rui Wang, Zai Tang Wang

Keywords:

Ant Colony Algorithm (ACA), Map Grid, Mobile Robot, Path Planning

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References

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