在基于预定义的导航树的多层建筑中运行的移动送货机器人的路径规划
Jordi Palacín1, Elena Rubies1, Ricard Bitriá1
1Robotics Laboratory, Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
本研究介绍了多层建筑中移动机器人的新型路径规划方法,利用导航树和Dijkstra的算法来实现高效的包裹交付. 这种方法确保了复杂的室内环境中的有效的自主机器人路由.
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:
- 由于垂直运输需求 (电梯),多层建筑对移动机器人导航提出了独特的挑战.
- 有效的路径规划对于自主配送机器人至关重要,以确保及时有效的包裹运输.
- 现有的方法可能无法完全解决多层导航和电梯集成的复杂性.
研究的目的:
- 为多层建筑中的移动机器人开发和验证一个强大的路径规划解决方案.
- 将空间和操作信息 (包括电梯使用) 整合到导航策略中.
- 通过模拟路由结果来证明拟议方法的有效性.
主要方法:
- 定义一个静态导航树,表示跨越多个层次的加权路径.
- 将Dijkstra的算法应用于导航树,以实现最佳的路线规划.
- 在多层建筑环境中模拟自主送货机器人的操作.
主要成果:
- 拟议的方法成功地为多层建筑中的移动机器人规划了有效的路线.
- 迪克斯特拉的算法有效地估计了交付路线的总长度.
- 模拟结果验证了自主送货机器人的导航树方法的有效性.
结论:
- 开发的路径规划策略为多层建筑中的移动机器人导航提供了有效的解决方案.
- 导航树和Dijkstra的算法的集成为自主交付系统提供了一个可扩展的方法.
- 这项研究有助于在复杂的室内环境中推进自主物流.
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