{"title":"Action observation in collision-free motion planning for mobile robots","authors":"Landi Shan, T. Hasegawa","doi":"10.1109/IROS.1995.526134","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of mutual collision avoidance of mobile robots in a narrow and uncertain environment. The minimal application of inter-robot communication is required to develop an autonomous and flexible mobile robot in such an environment. In order to reduce communication application function of action observation is introduced into a robot. A mobile robot gains more information about the local working environment by observing actions of other robots. It always tries to plan motions for avoiding a collision with its own sensory data. The effectiveness of this approach on collision avoidance is verified with simulation experiments.","PeriodicalId":124483,"journal":{"name":"Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots","volume":"218 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1995.526134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper addresses the problem of mutual collision avoidance of mobile robots in a narrow and uncertain environment. The minimal application of inter-robot communication is required to develop an autonomous and flexible mobile robot in such an environment. In order to reduce communication application function of action observation is introduced into a robot. A mobile robot gains more information about the local working environment by observing actions of other robots. It always tries to plan motions for avoiding a collision with its own sensory data. The effectiveness of this approach on collision avoidance is verified with simulation experiments.