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Multiple Mobile Robots Path Planning in Dynamic Unknown Environment Based on Improved Potential Field

机译:基于改进电位场的动态未知环境中多移动机器人路径规划

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摘要

Multiple mobile robots path planning is one of the fundamental problems in multiple mobile robotic systems. In this paper, an improved artificial potential field (APF) based approach for multiple mobile robots path planning in dynamic unknown environment is proposed. In this approach, the conventional attractive potential function is used to pull the robot to the destination. Whereas, the repulsive potential function is improved, in which the relative velocity of the robot respective to the obstacle, including static obstacle and dynamic obstacle, is considered. Thus by the effect of virtual repulsive force, the robot will not only be repulsed away from the obstacles but also be repulsed to change its moving direction to avoid collision with the dynamic obstacle. Cases studies are provided and analyses are made to show the effectiveness of the proposed approach.
机译:多个移动机器人路径规划是多个移动机器人系统中的基本问题之一。在本文中,提出了一种改进的基于人工势领域(APF)用于多个移动机器人路径规划的动态未知环境中的方法。在这种方法中,传统的有吸引力的潜在功能用于将机器人拉到目的地。然而,改善了排斥势函数,其中考虑了与障碍物相应的机器人的相对速度,包括静态障碍物和动态障碍物。因此,通过虚拟排斥力的效果,机器人不仅可以摆脱障碍物,而且还被擦除以改变其移动方向以避免与动态障碍物碰撞。提供案例研究并进行分析,表明提出的方法的有效性。

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