Comparative research on path planning algorithms for autonomous mobile robots based on ROS

Siyu Wang
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Abstract

The application of autonomous mobile robots is becoming more and more extensive. Path planning is one of the core problems, and the advantages and disadvantages of path planning algorithms directly affect the movement performance of robots. This paper aims to compare the path planning performance of autonomous mobile robots based on the ROS platform using multiple algorithms such as A*, Dijkstra, RRT, PRM, including path length, execution time and stability of robot posture through experiments. The results show that the PRM algorithm generally performs well in planning efficient and stable robot paths
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基于 ROS 的自主移动机器人路径规划算法比较研究
自主移动机器人的应用越来越广泛。路径规划是其核心问题之一,路径规划算法的优劣直接影响机器人的运动性能。本文旨在通过实验,比较基于 ROS 平台的自主移动机器人使用 A*、Dijkstra、RRT、PRM 等多种算法的路径规划性能,包括路径长度、执行时间和机器人姿态的稳定性。结果表明,PRM 算法在规划高效稳定的机器人路径方面表现一般
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