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

2019-09-13 19:18:52
Jason M. Gregory, Christopher Reardon, Kevin Lee, Geoffrey White, Ki Ng, Caitlyn Sims

Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/1909.06415

PDF

https://arxiv.org/pdf/1909.06415.pdf


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