Improvement of particle swarm optimization in multi-robot trajectory motion coordination

• Main Authors: Tang, Nyiak Tien, Lee, Jun Wei, Lim, Kit Guan, Wang, Tianlei, Teo, Kenneth Tze Kin
• Format: Proceedings
• Language: English; English
• Published: IEEE 2019
• Subjects: Q1-390 Science (General); TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General)
• Online Access: https://eprints.ums.edu.my/id/eprint/31881/1/Improvement%20of%20particle%20swarm%20optimization%20in%20multi-robot%20trajectory%20motion%20coordination.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/31881/2/Improvement%20of%20particle%20swarm%20optimization%20in%20multi-robot%20trajectory%20motion%20coordination.pdf; https://eprints.ums.edu.my/id/eprint/31881/; https://ieeexplore.ieee.org/document/9117520

In swarm robotics, motion coordination is being viewed as a whole system consists of multiple robots each with different velocity and path being optimized. This research focus on improve an optimization process called Particle Swarm Optimization (PSO) by altering the fitness function from static to...