基于刚性编队的多机器人动态编队方案

Jinglun Feng, Cheng-jin Zhang, Yong Song, Ting Chi
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引用次数: 1

摘要

提出了一种在受限环境下优化队形控制和避障策略的方法。首先,为了在受限环境下既能保持队形又能避开障碍物,采用刚性队形控制作为解决方案。其次,与静态队形变化相比,该方法考虑了障碍物区域的宽度。本文提出了一个编队基础,多机器人可以根据实时反馈从编队基础上调整编队。最后,在AmigoBot机器人平台上进行了多次仿真,验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-robot dynamic formation scheme based on rigid formation
A method that optimizes formation control and obstacle avoidance strategy in restricted environment is proposed in this paper. First, in order to maintain the formation while avoiding obstacles under the restricted environment, rigid formation control is implemented as the solution. Second, comparing with static changing of formation, this method takes the width of the obstacle zone into consideration. With a formation base is proposed in this paper, multi-robot is able to adjust the formation from formation base based on real-time feedbacks. Finally, the feasibility of this method is proven by a number of simulations conducted on the AmigoBot robot platform.
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