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ヒューマンロボット協働arXiv:2010.04914

協働ロボットの有効性指標としての「有用性」

Helpfulness as a Key Metric of Human-Robot Collaboration

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ロボットのパートナーとしての有用性を定量的に測るタスク指向の指標を提案し、様々な計画・実行パラダイムへの適用例と予備的結果を示した論文。

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

分類: cs.AI, cs.RO

原文アブストラクト

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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