基于领航一跟随法和人工势场法的巡检机器人编队
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TP242;S776

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Leader-Follower method and artificial potential field method based formation of inspection robots
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    摘要:

    机器人编队技术正不断发展并逐步投入应用,为了提升巡检机器人的工作效率,提出了一种基于领航一跟随法和人 工势场法的编队控制方法,保留了两方法的优点,使机器人编队在躲避障碍物的同时尽可能保持队形,通过施加随机扰动的 方法改善人工势场法中容易出现的局部最小值问题。实验结果表明,提出的方法完成任务消耗的时间相较于领航一跟随法 和基于行为法分别下降了28.5%和41.4%,在执行特定任务如协同围捕和依次排开时采用该方法的编队也能优秀完成。通 过 ROS(robot operating system)平台进行模拟环境仿真,进一步验证了方法的可行性。

    Abstract:

    The technology of robot formation is constantly developing and gradually being applied.In order to improve the work efficiency of inspection robots,this paper proposes a formation control method based on the leader-follower method and the artificial potential field method,retaining the advantages of the two methods.This allows the robot formation to avoid obstacles while maintaining the formation as much as possible,and improves the local minimum problem that is prone to occur in the artificial potential field method by applying random disturbances.The experimental results show that the time consumed by the proposed method to complete tasks has decreased by 28.5%and 41.4%,respectively, compared to the leader-follower method and the behavior based method.The formation using this method can also perform well in executing specific tasks such as collaborative encirclement and sequential platoon.The feasibility of the method was further verified through simulation of the simulation environment using the robot operating system(ROS) platform.

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吴金霆,王 琢,张子超,王乃宇.基于领航一跟随法和人工势场法的巡检机器人编队[J].国外电子测量技术,2024,43(1):182-188

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  • 在线发布日期: 2024-05-28
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