日本フィジカルAI新聞

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arXiv:1909.06415

Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control

Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control

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著者: Jason M. Gregory, Christopher Reardon, Kevin Lee, Geoffrey White, Ki Ng, Caitlyn Sims

分類: cs.RO, cs.AI, cs.HC

原文アブストラクト

Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents. However, one of the critical challenges in realizing an effective human-robot team is efficient information exchange - both from the human to the robot as well as from the robot to the human. In this work, we present and analyze an augmented reality-enabled, gesture-based system that supports intuitive human-robot teaming through improved information exchange. Our proposed system requires no external instrumentation aside from human-wearable devices and shows promise of real-world applicability for service-oriented missions. Additionally, we present preliminary results from a pilot study with human participants, and highlight lessons learned and open research questions that may help direct future development, fielding, and experimentation of autonomous HRI systems.