李捷, 袁夏, 赵春霞, 陆建峰. 基于2维激光雷达的小型地面移动机器人自主回收方法[J]. 机器人, 2017, 39(5): 688-696. DOI: 10.13973/j.cnki.robot.2017.0688
引用本文: 李捷, 袁夏, 赵春霞, 陆建峰. 基于2维激光雷达的小型地面移动机器人自主回收方法[J]. 机器人, 2017, 39(5): 688-696. DOI: 10.13973/j.cnki.robot.2017.0688
LI Jie, YUAN Xia, ZHAO Chunxia, LU Jianfeng. Automatic Withdrawal Method Based on 2D Laser Radar for Small Ground Mobile Robot[J]. ROBOT, 2017, 39(5): 688-696. DOI: 10.13973/j.cnki.robot.2017.0688
Citation: LI Jie, YUAN Xia, ZHAO Chunxia, LU Jianfeng. Automatic Withdrawal Method Based on 2D Laser Radar for Small Ground Mobile Robot[J]. ROBOT, 2017, 39(5): 688-696. DOI: 10.13973/j.cnki.robot.2017.0688

基于2维激光雷达的小型地面移动机器人自主回收方法

Automatic Withdrawal Method Based on 2D Laser Radar for Small Ground Mobile Robot

  • 摘要: 为了解决小型地面移动机器人在野外环境中的回收问题,利用2维激光雷达进行环境感知与末端精确引导,设计并实现了一个自主回收系统.首先,提出一种自适应曲率滤波算法预先对雷达数据进行滤波处理.然后,在检测引导目标过程中,结合基于密度和最近邻度量方法对散乱的数据进行聚类,并且利用引导目标和辅助目标之间的几何结构约束进行目标检测与匹配.最后,采用基于影响层划分和候选方向评估的方法进行实时避障与最优行驶方向选择,对机器人进行精确引导,从而实现机器人的自主回收.在野外环境中对该自主回收系统进行验证,对自主回收系统中的若干环节分别进行实验分析.实验结果表明,该方法能够有效地实现小型地面移动机器人在野外环境中的自主回收.

     

    Abstract: In order to resolve the withdrawal problem of small ground mobile robots in natural environment, the 2D laser radar is used for environmental perception and terminal precise navigation, and an automatic withdrawal system is designed and implemented. Firstly, an adaptive curvature filtering algorithm is proposed to process the radar data in advance. Then, the scattered data is clustered in the process of detecting the guiding target according to the density and the nearest neighbor measurement. The target detection and matching are carried out by using the geometric structure constraint between the guiding target and the auxiliary target. Finally, the real-time obstacle avoidance and the optimal forward direction selection are conducted based on the method of affected layer division and candidate direction estimation. Thus the robot is accurately guided to accomplish automatic withdrawal. The automatic withdrawal system is validated in natural environment. And some aspects of the automatic withdrawal system are analyzed experimentally. Experimental results show that the proposed method can effectively accomplish the automatic withdrawal of the small ground mobile robot in natural environment.

     

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