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Headlines · 1

1. Oct 20
   Peking University and Qiyuan Robot unveil HIL-UMI for arm-free robot post-training

   A Peking University team led by Dong Hao, who is also chief scientist at Qiyuan Robot, has introduced HIL-UMI, a human-in-the-loop data collection method for embodied post-training that runs without a robot arm. An operator uses a handheld UMI gripper while a model predicts the next actions in the background; when its predictions diverge from the human demonstration, the system prompts the operator to record corrective data, using an energy score and an advantage estimator. In four real-arm tasks, the team reports an average task-progress score of 94.8 with HIL-UMI versus 58.0 for conventional supervised fine-tuning, and 73.40 ms versus 412.99 ms per effective frame on a desk-cleaning task, a 5.63x collection-efficiency gain.

   雷峰网 AI · 🔥 0

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