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PLANNING ROBOT TRAJECTORIES USING A MODIFIED ARTIFICIAL POTENTIAL METHOD

机译:使用改进的人工潜在方法规划机器人轨迹

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The purpose of the paper is to introduce a multi-stage trajectory planning algorithm for mobile robots. Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) became very popular in the last few years. Many military and civil applications can be found in real life. One of the most challenging issues regarding UGVs and UAVs concern their autonomous control in environment with obstacles. The proposed algorithm is based on an isoline method, modification of the artificial potential field method, designed to efficiently escape local minima of the artificial potential function.
机译:本文的目的是为移动机器人引入多级轨迹规划算法。无人机地面车辆(UGV)和无人机航空车(无人机)在过去几年中变得非常受欢迎。在现实生活中可以找到许多军事和民用申请。关于UGV和无人机最具挑战性的问题之一,涉及其在障碍环境中的自主控制。该算法基于ISOLINE方法,旨在有效地逃避人工势函数的局部最小值。

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