自主移动机器人导航的路径规划趋势:一篇评论
Yuexia Tang1,2,3, Muhammad Aizzat Zakaria1,3,4, Maryam Younas1,3
1Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang AL-Sultan Abdullah, Pekan 26600, Pahang Darul Makmur, Malaysia.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
自主移动机器人需要有效的路径规划. 这项研究回顾了传统的算法及其改进,发现融合算法为安全和快速的路线规划提供了卓越的性能.
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
- 计算机科学 计算机科学
背景情况:
- 对自主移动机器人的日益增长的需求需要先进的路径规划.
- 传统的路径规划算法在实际,现实世界的应用中面临局限性.
- 研究重点是克服这些局限性,以改善机器人导航.
研究的目的:
- 审查传统的路径规划算法及其固有的局限性.
- 探索路径规划技术的最新进展和改进.
- 评估自主导航中增强算法的有效性.
主要方法:
- 制定已建立的路径规划方法.
- 关于传统算法的最近改进和修改的文献审查.
- 单算法与多算法融合方法的比较分析.
主要成果:
- 改进的路径规划算法在测试和应用中表现出强的性能.
- 多算法融合策略显著优于单个算法路径规划.
- 改进的算法为机器人提供了更高效,更可靠的路线规划.
结论:
- 最近的改进解决了传统路径规划算法的局限性.
- 多算法融合是先进的自主机器人导航的一个有希望的方向.
- 优化路径规划对于不断扩大的机器人领域至关重要.
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