拡張現実とジェスチャー操作による直感的な人間-ロボット協働の実現
Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control
ARとジェスチャー入力で人間とロボットの情報交換を改善し、直感的な協働を可能にするシステムを提案・評価した研究。
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.
