基于ROS的导航和避障:对架构,方法和趋势的研究
Zhe Wei1, Sen Wang1, Kangyelin Chen2
1School of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, China.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
本研究研究了移动机器人的机器人操作系统 (ROS) 导航堆. 它分析了避难障碍,比较了DWA和TEB等当地规划者,并审查了更安全的自主导航的挑战和趋势.
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:
- 机器人操作系统 (ROS) 显著提升了移动机器人的自主导航.
- ROS集成了SLAM,本地化,全球路径规划和障碍回避等关键组件.
- 在动态环境中安全导航由于实时感知和传感器融合而带来挑战.
研究的目的:
- 系统地检查基于ROS的导航堆和避障机制.
- 分析核心ROS导航模块的架构和实现.
- 为了比较地方规划者 (DWA,TEB) 和审查自主导航的新兴趋势.
主要方法:
- 对ROS导航堆架构的系统检查.
- 对核心模块实施原则的分析.
- 动态窗口方法 (DWA) 和定时弹性带 (TEB) 地方规划者的比较研究.
主要成果:
- 详细分析ROS导航堆组件及其集成.
- 对不同应用的DWA和TEB适用性进行比较.
- 确定基于ROS的导航中的关键挑战和最近的进展.
结论:
- 这项研究为使用ROS的机器人导航提供了更深入的理论理解.
- 为设计和开发强大的自动驾驶系统提供了实际指导.
- 强调了诸如深度学习集成和多机器人协调等新兴趋势.
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