基于不变量感知的多机器人认知共享共识生成算法

S. Tomita, K. Sekiyama, T. Fukuda
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引用次数: 2

摘要

多机器人系统的视觉识别存在一个特殊的问题,即从不同的视点进行观察会产生不同的视点。同样,同一目标对象的表示也会受到这种视点或环境条件的高度影响。因此,如何在不借助人工标记的情况下实现机器人之间对物体或ROI的认知共享已成为一个挑战。在本文中,我们提出了共识算法来获取几何关系的视点不变表示。实验结果表明,该方法显著提高了认知共享的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consensus Making Algorithms Based on Invariants Perception for Cognitive Sharing in Multi-robot
Visual recognition in multi-robot systems has a peculiar problem in that an observation from a different viewpoint gives a different perspective. Also, a representation of the same target object is highly affected by such a viewpoint or environmental condition. Hence it has become a challenge to realize cognitive sharing of the object or ROI between the robots without a help of artificial markers. In this paper, we propose consensus-making algorithms to acquire the viewpoint-invariant representation of the geometrical relations. Experimental results show the ability of cognitive sharing significantly improved by the proposed method.
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