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  1. シンポジウム
  2. シンポジウムシリーズ
  3. Asia Pacific Conference on Robot IoT System Development and Platform (APRIS)
  4. 2021

Maze Solving Algorithm for Autonomous Navigation Robot

https://ipsj.ixsq.nii.ac.jp/records/216179
https://ipsj.ixsq.nii.ac.jp/records/216179
72cead66-51b9-49b4-a6a6-2cb2ddd890fb
名前 / ファイル ライセンス アクション
IPSJ-APRIS2021003.pdf IPSJ-APRIS2021003.pdf (2.1 MB)
Copyright (c) 2022 by the Information Processing Society of Japan
オープンアクセス
Item type Symposium(1)
公開日 2022-01-28
タイトル
タイトル Maze Solving Algorithm for Autonomous Navigation Robot
タイトル
言語 en
タイトル Maze Solving Algorithm for Autonomous Navigation Robot
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者所属
Shibaura Institute of Technology
著者所属
Shibaura Institute of Technology
著者所属
Shibaura Institute of Technology
著者所属
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者名 Raja, Kiruthika

× Raja, Kiruthika

Raja, Kiruthika

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Tipporn, Laohakangvalvit

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Tipporn, Laohakangvalvit

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Peeraya, Sripian

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Peeraya, Sripian

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Midori, Sugaya

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Midori, Sugaya

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著者名(英) Raja, Kiruthika

× Raja, Kiruthika

en Raja, Kiruthika

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Tipporn, Laohakangvalvit

× Tipporn, Laohakangvalvit

en Tipporn, Laohakangvalvit

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Peeraya, Sripian

× Peeraya, Sripian

en Peeraya, Sripian

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Midori, Sugaya

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en Midori, Sugaya

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論文抄録
内容記述タイプ Other
内容記述 Autonomous navigation robots have the capability of moving from a point and finding the end point without any human assistance. In this study, we designed and developed an autonomous line maze solving robot using the LSRB algorithm and a PID controller. The designed robot uses the LSRB algorithm to learn and solve the maze by taking the shortest path after path optimization. A PID controller is later added as feedback control to increase the accuracy of the design. As a result, our designed robot is accurately able to learn and solve the maze by taking the shortest path.
論文抄録(英)
内容記述タイプ Other
内容記述 Autonomous navigation robots have the capability of moving from a point and finding the end point without any human assistance. In this study, we designed and developed an autonomous line maze solving robot using the LSRB algorithm and a PID controller. The designed robot uses the LSRB algorithm to learn and solve the maze by taking the shortest path after path optimization. A PID controller is later added as feedback control to increase the accuracy of the design. As a result, our designed robot is accurately able to learn and solve the maze by taking the shortest path.
書誌情報 Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform

巻 2021, p. 16-20, 発行日 2022-01-28
出版者
言語 ja
出版者 情報処理学会
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