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COMPANION: A Constraint-Optimizing Method for Person-Acceptable Navigation

机译:伴侣:一个人可接受导航的约束优化方法

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This paper introduces the COMPANION framework: a Constraint-Optimizing Method for Person-Acceptable NavigatION. In this framework, human social conventions, such as personal space and tending to one side of hallways, are represented as constraints on the robot's navigation. These constraints are accounted for at the global planning level. In this paper, we present the rationale for, and implementation of, this framework, and we describe the experiments we have run in simulation to verify that the method produces human-like behavior in a mobile robot. Our approach is novel in that it can express an arbitrary number of social conventions and explicitly accounts for these conventions in the planning phase.
机译:本文介绍了伴侣框架:用于个人可接受的导航的约束优化方法。在这一框架中,人类社会公约,如个人空间和倾向于走廊的一侧,被代表为机器人导航的约束。这些约束在全球规划级别占了。在本文中,我们介绍了本框架的基本原理和实施,我们描述了我们在模拟中运行的实验,以验证该方法在移动机器人中产生类似人类的行为。我们的方法是小说,因为它可以表达任意数量的社会公约,并明确占规划阶段的这些公约。

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