A game-theory based UKF algorithm for multi-robots cooperative localization*

Chao Tang, L. Dou
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引用次数: 2

Abstract

The precise autonomous localization of the robot is one of the fundamental challenges in multi-robots systems. For this problem, we propose a UKF algorithm, which incorporates the static game theory for the cooperative localization. The static game theory can effectively eliminate the information conflicts among robots and the UKF algorithm has better localization accuracy than the traditional EKF algorithms. Finally, a simulation example shows that the proposed algorithm has better performance than the traditional EKF algorithm.
基于博弈论的多机器人协同定位UKF算法*
机器人的精确自主定位是多机器人系统的基本挑战之一。针对这一问题,我们提出了一种UKF算法,该算法结合了静态博弈理论进行协同定位。静态博弈论可以有效消除机器人之间的信息冲突,UKF算法比传统的EKF算法具有更好的定位精度。仿真结果表明,该算法比传统的EKF算法具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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