基于A*搜索的多目标移动机器人路径规划

K. Jeddisaravi, Reza Javanmard Alitappeh, F. Guimarães
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引用次数: 26

摘要

寻找机器人路径是机器人运动规划中的一项基本任务。在多目标路径规划中,根据不同的应用和机器人的能力,可以定义不同的目标。在本文中,通过考虑火星探测器的场景,我们定义了几个必须最小化的真实目标。建议场景的目标是最小化从起点到目标点的难度、危险、海拔和路径长度。采用A*搜索算法求解,保证找到路径代价最小的完整最优解。在一个简单的地图和更真实的场景下的仿真结果验证了所提方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective mobile robot path planning based on A* search
Finding a path for a robot is a fundamental task in robot motion planning. Depending on applications and robot's capabilities, different objectives can be defined in multi-objective path planning. In this paper, by considering a Mars Rover scenario, we define several real objectives that must be minimized. The objectives for the proposed scenario are to minimize difficulty, danger, elevation, and length of the path from a start to a goal point. A* search algorithm is applied to solve the problem, since it guarantees to find a complete and optimal solution that minimizes the path cost. Simulation results in a simple map and more realistic scenario validate the applicability of the proposed method.
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