ロボットの中のGHOST: 搭載カメラによる実時間・外心視点の双腕ロボットVR遠隔操作
GHOST in the Robots: Real-Time Exocentric Dual-Robot VR Teleoperation from Onboard Cameras
単一のオペレータが2台の移動マニピュレータを直接低レベルコマンドで遠隔操作できるオープンソースのVRシステムを提案し、学習ベースの点群補完で空間認識を向上させた。
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著者: Yichen Wei, Faisal Zaghloul, Soujanya C Aryal, Aanya K. Agrawal, Chengfan Li, Jason Xinyu Liu, James Tompkin, Stefanie Tellex
分類: cs.RO
原文アブストラクト
Teleoperating multiple robots simultaneously enables additional views and coordinated control. Yet, it poses fundamental challenges: the system must present sensor data cohesively and allow operators to manage multiple robot bases, arms, and cameras while maintaining low latency. Current multi-robot teleoperation systems require multiple operators, rely on autonomy, or restrict operators to high-level commands. We present GHOST: an open-source VR teleoperation system that enables single operator control of two mobile manipulators via direct lowlevel commands using only onboard sensing. GHOST creates an exocentric 3D workspace by aligning real-time point clouds from the robots' RGB-D cameras, where scene coverage is improved through learning-based completion to aid operator spatial awareness. For control, the operator uses a mode-switching architecture to command either robot individually or both robots simultaneously. Experiments with 15 novice participants demonstrate 1.6-4x the success rate of an off-the-shelf tablet interface. For experts across nine challenging dual-robot tasks, our system enabled completion of two tasks that were infeasible with the tablet, and was 1.47x faster on average than the tablet. Website and code: https://h2r.github.io/GHOST/.