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基于模糊动态窗口算法的移动机器人本地路径规划
Ying Sun1,2, Wenlu Wang1,3, Manman Xu1,2
1Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
这项研究增强了使用模糊逻辑和全球路径集成与动态窗口方法 (DWA) 的机器人路径规划. 改进的DWA减少了规划时间和路径长度,同时确保在动态环境中安全避开障碍.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 控制系统 控制系统
背景情况:
- 人机协作正在增加,需要先进的移动机器人路径规划.
- 现有的动态窗口方法 (DWA) 由于固定的权重系数,与动态环境和次优途径作斗争.
研究的目的:
- 为移动机器人路径规划优化动态窗口方法 (DWA).
- 改进在动态环境中避免障碍和坚持全球路径.
主要方法:
- 实现模糊控制逻辑,在DWA的评估函数中动态调整权重系数.
- 综合全球路径信息作为地方运动规划的关键子目标站点.
- 修改了运动规划,在避免局部障碍后保持对全球路径的坚持.
主要成果:
- 增强的DWA减少了16%的规划时间和5%的路径长度.
- 在各种动态环境中证明了有效的避开障碍和遵循全球路径.
- 与传统的DWA相比,实现了更好的性能,避免了局部最佳.
结论:
- 拟议的基于模糊逻辑的DWA显著改善了动态设置中的移动机器人导航.
- 这种方法为现实世界的人机器人协作应用提供了更强大,更有效的解决方案.
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