移动机器人的自主导航:具有集成DWA和MPC的层次规划控制框架
Zhongrui Wang1, Shuting Wang1, Yuanlong Xie1,2
1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本研究引入了人机合作的新层次框架,通过整合路径规划和控制来提高安全性和效率. 这种方法提高了机器人在共享工作空间的导航.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人与机器人的交互
- 控制系统工程 控制系统工程
背景情况:
- 人机协作需要在共享工作空间中平衡安全和效率.
- 传统的方法往往使计划和控制脱而出,从而限制了性能.
- 共享操作空间的复杂性需要综合方法.
研究的目的:
- 为加强人机协作提出一个新的层次规划控制框架.
- 为了克服机器人系统中分离的规划和控制模块的局限性.
- 在协作环境中提高过程安全和任务执行效率.
主要方法:
- 开发了一个分层框架,整合了路径规划和控制.
- 增强了动态窗口方法 (DWA) 通过自适应的子目标选择和改进的路径评估.
- 修改模型预测控制 (MPC) 具有在线,基于曲率的参考状态策略.
主要成果:
- 拟议的框架明确纳入路径生成过程中的路径跟踪约束.
- 在控制过程中同时考虑路径特征.
- 通过模拟和现实世界的实验,证明了对传统方法的操作优势.
结论:
- 综合层次框架提高了机器人在协作任务中的性能.
- 该方法有效地解决了安全性和效率的双重要求.
- 在复杂的人机交互场景中验证了拟议方法的优越性.
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