Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control
This addresses the challenge of intuitive collaboration between humans and robots, particularly for service-oriented applications, though it appears incremental as it builds on existing AR and gesture technologies.
The paper tackled the problem of inefficient information exchange in human-robot teaming by developing an augmented reality and gesture-based system, showing promise for real-world service missions with preliminary results from a pilot study.
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.