Research on AGV Car Drawing and Path Planning Based on ROS
Conference: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
12/17/2021 - 12/19/2021 at Shenyang, China
Proceedings: ICMLCA 2021
Pages: 4Language: englishTyp: PDF
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Authors:
Zhang, Dongyang; Guo, Liang; Yu, Lifeng (Equipment Engineering College, Shenyang Ligong University, Shenyang, Liaoning, China)
Zhang, Hualiang (Shenyang Institude of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China)
Abstract:
Aiming at the optimization problem of map construction and path planning algorithm selection of AGV car in complex indoor environment, this paper uses four-wheel four-drive mobile chassis as an experimental platform to build a map with high accuracy in a closed corridor environment, and carries out simulation analysis and comparison between Dijkstra algorithm and A* algorithm under Matlab. A* algorithm is selected as the algorithm to solve indoor navigation this time. In the ROS environment, four-turn four-drive mobile chassis is used to complete mapping and navigation tasks, which verifies the effectiveness of this algorithm in this environment.