Detecting and Synthesizing Synchronous Joint Action in Human-Robot Teams

T. Iqbal, L. Riek
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引用次数: 3

Abstract

To become capable teammates to people, robots need the ability to interpret human activities and appropriately adjust their actions in real time. The goal of our research is to build robots that can work fluently and contingently with human teams. To this end, we have designed novel nonlinear dynamical methods to automatically model and detect synchronous joint action (SJA) in human teams. We also have extended this work to enable robots to move jointly with human teammates in real time. In this paper, we describe our work to date, and discuss our future research plans to further explore this research space. The results of this work are expected to benefit researchers in social signal processing, human-machine interaction, and robotics.
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人-机器人团队同步关节动作的检测与综合
为了成为有能力的人的队友,机器人需要能够解释人类的活动,并及时适当地调整他们的行动。我们研究的目标是制造能够流畅地与人类团队合作的机器人。为此,我们设计了一种新的非线性动力学方法来自动建模和检测人类团队中的同步关节动作。我们还扩展了这项工作,使机器人能够与人类队友实时联合移动。在本文中,我们描述了我们迄今为止的工作,并讨论了我们未来的研究计划,以进一步探索这一研究空间。这项工作的结果有望使社会信号处理、人机交互和机器人技术的研究人员受益。
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