Trajectory tracking for multiple unicycles in the environment with obstacles

W. Kowalczyk, K. Kozlowski, J. Tar
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引用次数: 21

Abstract

In the paper trajectory tracking algorithm including collision avoidance behaviour is presented. Dynamic properties of the robots are taken into account. Obstacles are assumed to be convex. Artificial potential functions (APF) are used to avoid collisions between robots and with static obstacles in the environment. Stability proof for the presented algorithm is shown and simulation results are presented to illustrate effectiveness of the algorithm.
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有障碍物环境中多辆独轮车的轨迹跟踪
本文提出了包含避碰行为的轨迹跟踪算法。考虑了机器人的动态特性。假设障碍物是凸的。人工势函数(APF)用于避免机器人之间的碰撞以及与环境中的静态障碍物的碰撞。给出了算法的稳定性证明和仿真结果,说明了算法的有效性。
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