• Laser Journal
  • Vol. 45, Issue 5, 236 (2024)
WANG Lifeng, LIU Kangying, YAO Yuanguo, and ZHOU Wanyang
Author Affiliations
  • [in Chinese]
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    DOI: 10.14016/j.cnki.jgzz.2024.05.236 Cite this Article
    WANG Lifeng, LIU Kangying, YAO Yuanguo, ZHOU Wanyang. Research on autonomous navigation of logistics sorting robot based on laser SLAM[J]. Laser Journal, 2024, 45(5): 236 Copy Citation Text show less

    Abstract

    There are many obstacles in the working environment of logistics sorting robots, so a research method for autonomous navigation of logistics sorting robots based on laser SLAM is proposed. Using laser SLAM to determine the distribution of obstacles in the robot’ s working environment. Add the target bias strategy to the RRT algorithm, and by setting fixed and variable probability target bias strategies, make the path nodes more directional when traver- sing the target points, better avoiding collisions between robots and obstacles, and then use the search random tree to search for the shortest path among them. Comparative experiments have shown that compared with conventional meth- ods, this method can guide the robot to follow the shortest path between the starting point and the target point, and the navigation process takes less time, resulting in an error rate and energy consumption of about 5% for robot autonomous navigation.