Fluent Coordination in Proximate Human Robot Teaming
Fluent Coordination in Proximate Human Robot Teaming
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发表时间：
2019
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通讯作者：
S. Matsumoto;L. Riek
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作者：
S. Matsumoto;L. Riek
- 流畅的协调对于团队合作很重要。在近似的团队合作场景中，流畅的团队往往表现得更成功。最近的研究表明，机器人可以通过多种方式支持人机团队的流畅性，包括使用非语言提示和预测人类意图。然而，这一领域的研究仍处于早期阶段。我们确定了该研究领域的一些关键挑战，特别是团队合作期间的个体差异、知识和任务转移、任务执行前的联合培训以及长期互动。然后，我们讨论了可能的前进道路，包括利用人类的适应性，以促进更流畅的团队合作。
—Fluent coordination is important in order for teams to work well together. In proximate teaming scenarios, fluent teams tend to perform more successfully. Recent work suggests robots can support fluency in human-robot teams a number of ways, including using nonverbal cues and anticipating human intention. However, this area of research is still in its early stages. We identify some of the key challenges in this research space, specifically individual variations during teaming, knowledge and task transfer, co-training prior to task execution, and long-term interactions. We then discuss possible paths forward, including leveraging human adaptability, to promote more fluent teaming.