Path planning and obstacle avoidance utilizing chameleon swarm algorithm

Khaled Awad Ballous; Mohammad AlShabi; Ali Bou Nassif; Maamar Bettayeb

doi:10.1117/12.2664081

14 June 2023 Path planning and obstacle avoidance utilizing chameleon swarm algorithm

Khaled Awad Ballous, Mohammad AlShabi, Ali Bou Nassif, Maamar Bettayeb

Proceedings Volume 12549, Unmanned Systems Technology XXV; 125490B (2023) https://doi.org/10.1117/12.2664081
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Path planning and obstacle avoidance are crucial tasks in the robotics and autonomous industry. Path planning seeks to determine the most efficient path between a start and an end point, whereas obstacle avoidance seeks to avoid collisions with static or dynamic obstacles in the environment. On this work, we utilize the Chameleon Swarm Algorithm (CSA), which is a metaheuristic approach, for path planning and obstacle avoidance on a predetermined map with static obstacles. This CSA extracted the optimal path from several possible different paths, and the results showed that it has slightly superior performance compared to PSO.

Conference Presentation

Citation Download Citation

Khaled Awad Ballous, Mohammad AlShabi, Ali Bou Nassif, and Maamar Bettayeb "Path planning and obstacle avoidance utilizing chameleon swarm algorithm", Proc. SPIE 12549, Unmanned Systems Technology XXV, 125490B (14 June 2023); https://doi.org/10.1117/12.2664081

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