RynnWorld-Teleop: Digital Teleoperation via Generative World Models
Haoyu Zhao · hf · 2026-07-08
This study proposes replacing physical robot interactions with action-conditioned generative world models for digital teleoperation scenarios. By generating diverse training data, it enables efficient zero-shot Sim2Real transfer and significantly improves real-world execution performance. This solution lowers the cost of collecting real-world robot operation data, helping to accelerate the generalization training of robotic policies.
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