{"title":"Physicomimetics for Mobile Robot Obstacle Avoidance","authors":"S. Hettiarachchi, W. Spears","doi":"10.1109/SNPD.2012.136","DOIUrl":null,"url":null,"abstract":"The ability of robots to promptly avoid obstacles and reach a goal while accurately maintaining a formation is extremely important for many swarm robotic tasks such as terrain analysis, search and rescue, and chemical plume source tracing. In prior work, using simulation, we established how Physicomimetics can be used to maintain swarms of mobile robots in formations that move towards a goal through an obstacle field. In this paper, we demonstrate the obstacle avoidance capability of Physicomimetics control algorithm using two different mobile robot platforms with limited hardware, Maxelbot and X80Pro.","PeriodicalId":387936,"journal":{"name":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2012.136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The ability of robots to promptly avoid obstacles and reach a goal while accurately maintaining a formation is extremely important for many swarm robotic tasks such as terrain analysis, search and rescue, and chemical plume source tracing. In prior work, using simulation, we established how Physicomimetics can be used to maintain swarms of mobile robots in formations that move towards a goal through an obstacle field. In this paper, we demonstrate the obstacle avoidance capability of Physicomimetics control algorithm using two different mobile robot platforms with limited hardware, Maxelbot and X80Pro.