异构多机器人系统中的协同锚定

K. LeBlanc, A. Saffiotti
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引用次数: 49

摘要

高度异构的机器人系统正变得越来越普遍,与智能环境集成的机器人系统也是如此。在这样的分布式系统中,有许多不同来源和类型的信息,需要有效地协调和组合。协作锚定问题(大致上)是分布式系统中确定哪些信息项指向相同的对象,并相应地组合这些项的问题。在本文中,受概念空间和(单机器人)感知锚定的启发,我们定义了一个通用的协作锚定计算框架。我们还讨论了使用模糊逻辑工具实现该框架的方法,并给出了一个说明性实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative anchoring in heterogeneous multi-robot systems
Highly heterogeneous robotic systems are becoming increasingly common, as are robotic systems integrated with smart environments. In such distributed systems, there are many different sources and types of information, which need to be coordinated and combined effectively. The problem of cooperative anchoring is (roughly) the problem of, in a distributed system, determining which items of information refer to the same objects, and combining these items accordingly. In this paper, we define a general computational framework for cooperative anchoring inspired by work on conceptual spaces and (single-robot) perceptual anchoring. We also discuss an implementation of this framework which uses tools from fuzzy logic, and we present an illustrative experiment.
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