Optimal path planning for intelligent automated wheelchair using DDSRPSO

Abstract

Purpose

This paper aims to find the optimal path using directionally driven self-regulating particle swarm optimization (DDSRPSO) with high accuracy and minimal response time.

Design/methodology/approach

This paper encompasses optimal path planning for automated wheelchair design using swarm intelligence algorithm DDSRPSO. Swarm intelligence is incorporated in optimization due to the cooperative behavior in it.

Findings

The proposed work has been evaluated in three different regions and the comparison has been made with particle swarm optimization and self-regulating particle swarm optimization and proved that the optimal path with robustness is from the proposed algorithm.

Originality/value

The performance metrics used for evaluation includes computational time, success rate and distance traveled.

Citation

Thirugnanasambandam, K., R.S., R., Loganathan, J., Dumka, A. and V., D. (2021), "Optimal path planning for intelligent automated wheelchair using DDSRPSO", International Journal of Pervasive Computing and Communications, Vol. 17 No. 1, pp. 109-120. https://doi.org/10.1108/IJPCC-05-2020-0033