{"title":"Comparative research on path planning algorithms for autonomous mobile robots based on ROS","authors":"Siyu Wang","doi":"10.1117/12.3014664","DOIUrl":null,"url":null,"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","PeriodicalId":516634,"journal":{"name":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","volume":"26 1","pages":"129690Z - 129690Z-6"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3014664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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