Path Finding and Traffic Simulation with Zumo Robot

• Item type: Symposium(1)
• 公開日: 2022-12-20
• タイトル: Path Finding and Traffic Simulation with Zumo Robot
• タイトル / 言語: en
• タイトル: Path Finding and Traffic Simulation with Zumo Robot
• 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: Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者名: Le-Gao, Chen; Chen, Feng; Tipporn, Laohakangvalvit; Peeraya, Sripian; Midori, Sugaya
• 著者名(英): Le-Gao, Chen; Chen, Feng; Tipporn, Laohakangvalvit; Peeraya, Sripian; Midori, Sugaya
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Autonomous robots and path finding algorithms have been used to progress autonomous vehicle studies. Being able to determine the shortest path from one point to another and to execute the given path is the core of the future of autonomous transportation. In this study, we employed an Arduino-controlled Zumo robot to simulate the path finding and traffic based on Dijkstra's algorithm for finding the shortest path between two points on a given map while considering traffic according to the paths generated by the algorithm. In addition, we employed PID control and compass to enable line-tracing feature so that the robot can move along a predefined path. Combining those features, we succeeded in developing a simple simulation of path finding and traffic using Zumo robot.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Autonomous robots and path finding algorithms have been used to progress autonomous vehicle studies. Being able to determine the shortest path from one point to another and to execute the given path is the core of the future of autonomous transportation. In this study, we employed an Arduino-controlled Zumo robot to simulate the path finding and traffic based on Dijkstra's algorithm for finding the shortest path between two points on a given map while considering traffic according to the paths generated by the algorithm. In addition, we employed PID control and compass to enable line-tracing feature so that the robot can move along a predefined path. Combining those features, we succeeded in developing a simple simulation of path finding and traffic using Zumo robot.
• 書誌情報: Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform; 巻 2022, p. 50-51, 発行日 2022-12-20
• 出版者 / 言語: ja
• 出版者: 情報処理学会