首页|Recent Findings from University of Tunku Abdul Rahman Highlight Research in Robo tics (Enhanced Particle Swarm Optimisation for Multi-Robot Path Planning with Be zier Curve Smoothing)
Recent Findings from University of Tunku Abdul Rahman Highlight Research in Robo tics (Enhanced Particle Swarm Optimisation for Multi-Robot Path Planning with Be zier Curve Smoothing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on robotics are discussed in a new report. According to news reporting out of Kajang, Malaysia, by NewsRx edito rs, research stated, “This paper presents an Enhanced Particle Swarm Optimisatio n (EPSO) algorithm to improve multi-robot path planning by integrating a new pat h planning scheme with a cubic Bezier curve trajectory smoothing algorithm.” Our news reporters obtained a quote from the research from University of Tunku A bdul Rahman: “Traditional PSO algorithms often result in suboptimal paths with n umerous turns, necessitating frequent stops and higher energy consumption. The p roposed EPSO algorithm addresses these issues by generating smoother paths that reduce the number of turns and enhance the efficiency of multi-robot systems. Th e proposed algorithm was evaluated through simulations in two scenarios, and its performance was compared against the basic PSO algorithm. The results demonstra ted that EPSO consistently produced shorter, smoother paths with fewer direction al changes, albeit with slightly longer execution times.”
University of Tunku Abdul RahmanKajangMalaysiaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRo botics
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