{"title":"A Fireworks Algorithm Based Path Planning Method for Amphibious Robot","authors":"Yuanyang Qi, Jincun Liu, Junzhi Yu","doi":"10.1109/RCAR52367.2021.9517332","DOIUrl":null,"url":null,"abstract":"This paper proposes a fireworks algorithm based path planning method for amphibious robots that operate in terraqueous environments. Firstly, the amphibious path planning is formulated into a constrained optimization problem by coordinate transformation and line segmentation. Distance, energy consumption, and robot mode switching costs regarding the unconventional characteristics of the amphibious environment are considered. Secondly, the fireworks algorithm (FWA) and the bare bones fireworks algorithm (BBFWA) are briefly introduced. Finally, both methods have been implemented for solving the amphibious path planning problem. Simulation experiments have been conducted to explore the effectiveness and performance of both methods. Results indicate that our proposed path planning method for terraqueous environments is effective, and the fireworks algorithm outperforms the bare bones fireworks algorithm despite the latter surpasses several enhanced variants of the former on certain benchmarks.","PeriodicalId":232892,"journal":{"name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR52367.2021.9517332","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 proposes a fireworks algorithm based path planning method for amphibious robots that operate in terraqueous environments. Firstly, the amphibious path planning is formulated into a constrained optimization problem by coordinate transformation and line segmentation. Distance, energy consumption, and robot mode switching costs regarding the unconventional characteristics of the amphibious environment are considered. Secondly, the fireworks algorithm (FWA) and the bare bones fireworks algorithm (BBFWA) are briefly introduced. Finally, both methods have been implemented for solving the amphibious path planning problem. Simulation experiments have been conducted to explore the effectiveness and performance of both methods. Results indicate that our proposed path planning method for terraqueous environments is effective, and the fireworks algorithm outperforms the bare bones fireworks algorithm despite the latter surpasses several enhanced variants of the former on certain benchmarks.