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A new adaptive artificial potential field and rolling window method for mobile robot path planning

机译:一种新的自适应人工势场和滚动窗口的移动机器人路径规划方法

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The artificial potential field (APF) method is a classical path planning algorithm for mobile robots. Although the artificial potential field method is simple, it still has some defects, which limit the scope of its application. In this paper, we propose an adaptive repulsive potential function to solve the problem, goals nonreachable with obstacles nearby (GNRON). Then, the adaptive artificial potential field (AAPF) combined with the rolling window method is used to solve the local-minima problem and can be used for the path planning in dynamic environment.
机译:人工势场(APF)方法是用于移动机器人的经典路径规划算法。人工势场法虽然简单易行,但仍存在一些缺陷,限制了其应用范围。在本文中,我们提出了一种自适应排斥势函数来解决该问题,即在附近障碍物(GNRON)下无法达到的目标。然后,将自适应人工势场(AAPF)结合滚动窗口方法用于解决局部极小值问题,并可用于动态环境中的路径规划。

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