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.

Autonomous navigation and obstacle avoidance in smart robotic wheelchairs

“…A popular algorithm used in path planning for wheelchair navigation is the A* (A-star) algorithm. Thirugnanasambandam et al (2021) proposed an A*-based optimal path planning algorithm for intelligent wheelchairs. The algorithm considers the wheelchair's kinematic constraints and the environment's characteristics to generate collision-free and efficient paths.…”