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基于改进的群算法,在复杂环境中为移动机器人进行路径规划

Yuzhuo Shi1, Huijie Zhang2, Zhisheng Li2

  • 1College of Information Technology, Tianjin College of Commerce, Tianjin 300350, China.

Mathematical biosciences and engineering : MBE
|November 3, 2023
PubMed
概括

本研究介绍了一种改进的殖民地 (CBIACO) 算法,用于移动机器人路径规划. 它提高了融合速度,全球路径质量,并在复杂,动态和未知的环境中避免障碍.

关键词:
殖民地算法 殖民地算法动态的障碍回避方式.路径探索 路径探索路径规划路径规划路径规划不知名的环境环境未知环境

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