论文标题

作为人类机器人合作的关键指标

Helpfulness as a Key Metric of Human-Robot Collaboration

论文作者

Freedman, Richard G., Levine, Steven J., Williams, Brian C., Zilberstein, Shlomo

论文摘要

随着机器人队友在社会中变得越来越普遍,人们将评估机器人在许多方面的互动中的作用。这样一个维度就是有效性:人们会问他们的机器人合作伙伴是否值得信赖和有效的合作者。这就引出了一个至关重要的问题:我们如何定量衡量机器人合作伙伴对当前任务的有益性?本文旨在回答有关互动机器人决策的问题。我们描述了适用于许多不同计划和执行范式的清晰,简洁和面向任务的度量。拟议的有用度量指标是评估合作伙伴在给定任务中的收益的基础。在本文中,我们定义了有用性,在各种领域的具体示例中进行了说明,讨论其特性和计划与人类相互作用的影响,并提出初步结果。

As robotic teammates become more common in society, people will assess the robots' roles in their interactions along many dimensions. One such dimension is effectiveness: people will ask whether their robotic partners are trustworthy and effective collaborators. This begs a crucial question: how can we quantitatively measure the helpfulness of a robotic partner for a given task at hand? This paper seeks to answer this question with regards to the interactive robot's decision making. We describe a clear, concise, and task-oriented metric applicable to many different planning and execution paradigms. The proposed helpfulness metric is fundamental to assessing the benefit that a partner has on a team for a given task. In this paper, we define helpfulness, illustrate it on concrete examples from a variety of domains, discuss its properties and ramifications for planning interactions with humans, and present preliminary results.

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