基于草莓算法的未知环境下多机器人导航

B. Charan, A. Mittal, R. Tiwari
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引用次数: 2

摘要

路径规划关注的是机器人从初始位置到最终位置的运动,使其必须避开障碍物,最终以最优路径到达目标。但这并不是一件容易的事情,因为最终结果的效率包括许多条件,如在不同的环境下工作,已知或未知的目标等。本文提出了一种受草莓植物启发的算法,并将其应用于路径规划中。该算法可以对路径长度、能量和匝数等不同的优化参数进行有效的优化。将该算法与RRT、A-star、PSO进行了比较,得到了满意的结果。该工作可以应用于实际的区域勘探挑战中
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Robot Navigation in Unknown Environment Using Strawberry Algorithm
Path Planning focuses on the robot motion from the initial position to final position such that it must avoid the hurdles and finally reach the goal in optimal path. But it is not an easy task because many conditions are included for the efficiency of final result like working on different environments, known or unknown target etc. In this paper the authors have proposed an algorithm inspired by the strawberry plants, and is applied in the path planning. The algorithm can efficiently work for different optimization parameters like Path Length, Energy and Number of Turns. The proposed algorithm is compared with RRT, A-star, PSO and the results obtained are satisfactory. The work can be applied in the real life challenges faced during area exploration
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