一种未知环境下移动机器人自主导航方法

Translated title of the contribution: An autonomous navigation method for mobile robot in unknown environment

Jianhua Xu, Xiaohui Wu, Jiaxuan Zhang, Yurong Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

In order to improve the autonomous navigation performance of mobile robots in unknown environment, a target-driven autonomous navigation method is proposed. Without relying on prior map information, the mobile robot directly constructs candidate target points from the LiDAR readings, and selects the best points from the candidate target points as the local target points according to the robot's own position and the goal position. The improved local planner based on deep reinforcement learning directly obtains action signals from input information to achieve end-to-end control, enabling the mobile robot to reach local target points quickly and safely until it reaches the goal. Experiments show that the proposed navigation method can accomplish navigation tasks reliably and efficiently under complex environments. Compared with the nearest frontier navigation method, the average path length is reduced by 6.63%, the average running time is shortened by 19.11%, and the method has the advantages of high success rate, short path and fast speed.

Translated title of the contributionAn autonomous navigation method for mobile robot in unknown environment
Original languageChinese (Traditional)
Pages (from-to)250-257
Number of pages8
JournalZhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology
Volume32
Issue number3
DOIs
Publication statusPublished - Mar 2024

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Xu, J., Wu, X., Zhang, J., & Zhang, Y. (2024). 一种未知环境下移动机器人自主导航方法. Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 32(3), 250-257. https://doi.org/10.13695/j.cnki.12-1222/o3.2024.03.006