轮式机器人导航的仿生算法

Nada Kherici, Y. M. B. Ali
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引用次数: 2

摘要

本文讨论了轮式机器人b| s位移的仿生粒子群优化算法。选择PSO是因为它的灵活性和诱人的结果。在平面环境中模拟了一个全向轮式机器人,它有两个任务:|到达目标|或|收集球|。本文对所研究的位移进行了性能检验。在第一种情况下,我们讨论了与粒子|和邻近的|数相比执行时间的变化。在第二个模型中,我们研究了粒子|和球|数量对路径|s长度与执行时间的影响。
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Bio-inspired algorithm for wheeled robot's navigation
This paper discusses the bio-inspired algorithm of the Particle Swarm Optimisation (PSO) for a wheeled robot|s displacement. PSO was selected because its flexibility and its tempting results. An omnidirectional wheeled robot was simulated on a flat environment with two tasks: |Reach a goal| or |collect balls|. This paper checks on the performance of PSO for the displacement studied. In the first case, we discussed the variation of execution time compared to the particles| and the neighbours| number. In the second one, we studied the change in the path|s length compared to execution time depending on the particles| and balls| number.
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