Research on path planning of mobile robot based on improved ant colony algorithm

Chenglong Xue; Jian Wu

doi:10.1117/12.2674663

28 April 2023 Research on path planning of mobile robot based on improved ant colony algorithm

Chenglong Xue, Jian Wu

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126262C (2023) https://doi.org/10.1117/12.2674663
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

Aiming at the problems of slow convergence speed and easy to fall into the local optimal solution in the path planning of mobile robots in the application of traditional ant colony algorithm, a strategy to update the pheromone increment according to the planned path and the historical optimal path is proposed, so as to improve the convergence of the algorithm. To avoid the algorithm getting stuck in stagnation, an adaptive pheromone volatility coefficient is introduced. It not only avoids the stagnation phenomenon in the search, but also improves the path convergence speed. Simulation results show that the improved algorithm has good convergence.

Citation Download Citation

Chenglong Xue and Jian Wu "Research on path planning of mobile robot based on improved ant colony algorithm", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126262C (28 April 2023); https://doi.org/10.1117/12.2674663

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