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RoboTok engine retrieves human manipulation videos for robot learning

Researchers have developed RoboTok, an internet-scale data engine designed to improve robot policy training by retrieving relevant human manipulation videos from the web. The system learns a latent motion space from 3D hand trajectories, allowing it to compare manipulation behaviors across different viewpoints and appearances. This approach enables RoboTok to efficiently search and index vast collections of web videos, ultimately retrieving more relevant demonstrations and enhancing downstream task success for robots. AI

IMPACT This system could significantly reduce the cost and increase the scale of data collection for robot manipulation tasks.

RANK_REASON The cluster describes a research paper detailing a new method for robot learning data retrieval.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

RoboTok engine retrieves human manipulation videos for robot learning

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The cluster describes a research paper detailing a new method for robot learning data retrieval.
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning

    RoboTok retrieves relevant human manipulation videos from the web using a latent motion space derived from 3D hand trajectories to improve robot policy training.

  2. arXiv cs.CV TIER_1 English(EN) · Howard Qian, Yiting Chen, Yunfei Xie, Kejia Ren, Podshara Chanrungmaneekul, Gaotian Wang, Bowen Wen, Chen Wei, Kaiyu Hang ·

    RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning

    arXiv:2609.03199v1 Announce Type: new Abstract: Robot learning increasingly depends on broad and diverse demonstrations, yet collecting robot data remains expensive and poorly suited to covering the long tail of real-world tasks. To address this bottleneck, we introduce RoboTok, …