COBALT: Crowdsourcing Robot Learning via Cloud-Based Teleoperation with Smartphones
The scarcity of large-scale, high-quality demonstration data remains a bottleneck in scaling imitation learning for robotic manipulation. We present COBALT, a teleoperation platform designed to democratize robot learning at scale both in simulation and in the real world. By leveraging vectorized environments, our scalable, load-balanced infrastructure supports concurrent teleoperation by multiple users on a single GPU, yielding a significant reduction in teleoperation cost. Operators can connect from nearly anywhere on Earth using commonly available devices, including single or dual smartphones, VR headsets, 3D mice, and keyboards. An inmemory data cache and efficient video streaming keep...
| Authors | Ayush Agarwal, Ansh Gandhi, Jeremy A. Collins et al. |
|---|---|
| Primary category | cs.RO |
| Published | 18 May 2026 |
| Last updated at source | 20 May 2026 |
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