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基于阶段窗口的非结构化环境的双层混合A*路径规划算法
Tianxiao Zhu1, Ziyu Xu1, Rujiang Zhu1
1School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
本研究介绍了一种双层混合A*算法,用于移动机器人路径规划. 它通过适应动态环境和机器人约束来提高复杂地形上的稳定性和安全性.
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:
- 移动机器人需要强大的路径规划来实现自主导航.
- 复杂的地形对机器人的稳定性和安全性构成挑战.
- 现有的算法与动态地形和机器人运动限制作斗争.
研究的目的:
- 提出一种新的双层混合A*算法,用于增强路径规划.
- 在非结构化环境中提高机器人的稳定性和安全性.
- 解决传统路线规划方法的局限性.
主要方法:
- 开发了一种具有动态相位窗口的双层混合A*算法.
- 集成的实时反和适应性调整,以改进路径.
- 采用双立方插值用于提升地图精细化和姿势估计.
- 利用动态成本函数,自适应扩展半径,修剪和阶段窗口激活.
主要成果:
- 拟议的算法在复杂的地形中表现优于传统方法.
- 生成优化路径,满足机器人运动约束.
- 在现实应用中证明了提高效率和安全性.
结论:
- 双层混合A*算法在移动机器人路径规划方面取得了重大进展.
- 这种方法提高了机器人在充满挑战的环境中的导航能力.
- 这种方法确保了自主系统的效率和安全.
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