{"title":"Robot Path Planning via Harris Hawks Optimization: A Comparative Assessment","authors":"A. Loganathan, N. S. Ahmad","doi":"10.1109/ICEPECC57281.2023.10209484","DOIUrl":null,"url":null,"abstract":"Path planning is the task of finding a safe and efficient path for a mobile robot to navigate through an environment while taking into account factors such as energy efficiency and time constraints. This study compares the performance of the Harris Hawks optimization (HHO)-based method with other competing swarm intelligence algorithms such as Whale optimization Algorithm, Sine Cosine Algorithm, and Multi-Verse optimizer Algorithm. By including safety and path length in the cost function, and imposing a constraint on the processing time, simulation results demonstrate that the HHO-based path planning method is able to drive the robot towards the target with the lowest path cost compared to the rest.","PeriodicalId":102289,"journal":{"name":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPECC57281.2023.10209484","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
Path planning is the task of finding a safe and efficient path for a mobile robot to navigate through an environment while taking into account factors such as energy efficiency and time constraints. This study compares the performance of the Harris Hawks optimization (HHO)-based method with other competing swarm intelligence algorithms such as Whale optimization Algorithm, Sine Cosine Algorithm, and Multi-Verse optimizer Algorithm. By including safety and path length in the cost function, and imposing a constraint on the processing time, simulation results demonstrate that the HHO-based path planning method is able to drive the robot towards the target with the lowest path cost compared to the rest.
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