{"title":"Bio-inspired algorithm for wheeled robot's navigation","authors":"Nada Kherici, Y. M. B. Ali","doi":"10.1504/IJAISC.2011.042716","DOIUrl":null,"url":null,"abstract":"This paper discusses the bio-inspired algorithm of the Particle Swarm Optimisation (PSO) for a wheeled robot|s displacement. PSO was selected because its flexibility and its tempting results. An omnidirectional wheeled robot was simulated on a flat environment with two tasks: |Reach a goal| or |collect balls|. This paper checks on the performance of PSO for the displacement studied. In the first case, we discussed the variation of execution time compared to the particles| and the neighbours| number. In the second one, we studied the change in the path|s length compared to execution time depending on the particles| and balls| number.","PeriodicalId":364571,"journal":{"name":"Int. J. Artif. Intell. Soft Comput.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Artif. Intell. Soft Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAISC.2011.042716","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
This paper discusses the bio-inspired algorithm of the Particle Swarm Optimisation (PSO) for a wheeled robot|s displacement. PSO was selected because its flexibility and its tempting results. An omnidirectional wheeled robot was simulated on a flat environment with two tasks: |Reach a goal| or |collect balls|. This paper checks on the performance of PSO for the displacement studied. In the first case, we discussed the variation of execution time compared to the particles| and the neighbours| number. In the second one, we studied the change in the path|s length compared to execution time depending on the particles| and balls| number.
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