Localization by Co-observing Robots

Yoshiteru Nishimura, T. Ishikawa, K. Hori
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引用次数: 1

Abstract

This paper proposes three methods to improve the accuracy of the estimation of robot's self-state by observing other robots mutually. Many methods have been proposed to enable the autonomous robots estimate their states, such as the methods of SLAM (simultaneous localization and mapping). But those methods usually need high precision sensors (e.g. laser range finder) or high computing power. Robots that use low precision sensor and actuator can cover their low performance by using mutual observation of other robots. In this paper we propose to combine three methods for accurate robot's estimation of their states by using mutual observation of other robots. Each of three methods has advantages and drawbacks. We propose to switch the methods depending on situations.
协同观察机器人的定位
本文提出了三种通过相互观察机器人来提高机器人自状态估计精度的方法。为了使自主机器人能够估计其状态,人们提出了许多方法,如SLAM(同时定位和映射)方法。但这些方法通常需要高精度的传感器(如激光测距仪)或高计算能力。使用低精度传感器和执行器的机器人可以通过相互观察其他机器人来弥补其低性能。在本文中,我们提出了结合三种方法来精确估计机器人的状态,通过相互观察其他机器人。三种方法各有优缺点。我们建议根据情况改变方法。
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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