河北水利电力学院学报 ›› 2025, Vol. 35 ›› Issue (3): 30-36.DOI: 10.16046/j.cnki.issn2096-5680.2025.03.005

• 人工智能与机器人 • 上一篇    下一篇

基于激光SLAM的动态适应性移动机器人自主导航方法

吴双   

  1. 淮南联合大学智能制造学院,安徽省淮南市田家庵区洞山西路 232007
  • 收稿日期:2024-07-19 修回日期:2024-09-26 发布日期:2025-10-09
  • 作者简介:吴 双(1990-),女,安徽淮南人,实验师,研究方向:自动化。E-mail:wussangxx@126.com
  • 基金资助:
    2023年安徽省高等学校科学研究重点项目(2023AH051156);淮南联合大学自然科学研究项目(LYB2306)

Dynamic Adaptive Autonomous Navigation Method for Mobile Robots Based on Laser SLAM

WU Shuang   

  1. School of Intelligent Manufacturing, Huainan Union University, 232007, Huainan Anhui, China
  • Received:2024-07-19 Revised:2024-09-26 Published:2025-10-09

摘要: 在移动机器人自主导航技术的应用与研究领域中,移动机器人在执行导航任务时所处的物理空间或场景充满了动态的变化,给机器人的移动带来了显著的挑战,导致自主导航的准确性和效率受到一定程度的影响,难以达到理想效果。为了解决这一问题,文中提出基于激光SLAM的动态适应性移动机器人自主导航方法。通过移动机器人搭载的激光设备采集相应的激光数据,并通过线性插值的方法处理激光数据的畸变问题。分析处理后的激光数据的高斯分布状态,以此构建激光SLAM的代价地图生成框架。在生成的代价地图中求解移动代价参数,从而实现自主导航过程。经过实践测试可知,该方法在应用中所得出的自主导航结果碰撞风险较低,导航结果较优,满足了动态适应性移动机器人的应用需求。

关键词: 移动机器人, 机器人导航, 自主导航, 动态环境, 激光SLAM

Abstract: In the application and research field of autonomous navigation technology for mobile robots, the physical spaces in which mobile robots perform are highly dynamic, which poses significant challenges to the robot's movement and adversely affects the accuracy and efficiency of autonomous navigation, making it difficult to achieve ideal results. To address this issue, a dynamic and adaptive mobile robot autonomous navigation method based on laser SLAM is proposed. Collecting corresponding laser data through the laser equipment carried by mobile robots, and correcting the distortion of laser data through linear interpolation, we analyze the Gaussian distribution state of the processed laser data to construct a cost map generation framework for laser SLAM. We derive the mobile cost parameters in the generated cost map to achieve autonomous navigation process. Through practical testing, it is known that the autonomous navigation results obtained by this method in application show low collision risk and excellent navigation, meeting the application requirements of dynamic adaptive mobile robots.

Key words: mobile robots, robot navigation, autonomous navigation, dynamic environment, laser SLAM

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