aiqbench analysis
This research introduces GHOST, an open-source VR system enabling single-operator teleoperation of dual mobile manipulators through direct low-level control and learned point cloud completion. By aligning real-time sensor data into a cohesive 3D workspace, the system significantly outperforms standard tablet interfaces in both novice success rates and expert task completion speeds. The work advances robotic autonomy by bridging the gap between high-level command systems and fine-grained manual dexterity for complex multi-robot scenarios.
GHOST in the Robots: Real-Time Exocentric Dual-Robot VR Teleoperation from Onboard Cameras
arXiv:2608.29080v1 Announce Type: new Abstract: 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/.
Abstract: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: this https URL.
Robotics (cs.RO)
arXiv:2608.29080 [cs.RO]
(or arXiv:2608.29080v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2608.29080 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
https://doi.org/10.1109/LRA.2026.3726328 Focus to learn more DOI(s) linking to related resources
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