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@real-stanford

Robotics & Embodied Artificial Intelligence Lab (REAL)

We develop algorithms that enable intelligent systems to learn from their interactions with the physical world to execute complex tasks and assist people

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  1. DexUMI DexUMI Public

    DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation

    C 231 26

  2. UMI-FT UMI-FT Public

    In-the-Wild Compliant Manipulation with UMI-FT

    Python 86 7

  3. dice-rl dice-rl Public

    From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning

    Python 79 8

  4. iPhUMI iPhUMI Public

    iPhUMI is a handheld data collection interface for training visuomotor robot manipulation policies and a hardware interface for behavior prompting.

    Python 15 2

  5. behavior_prompting behavior_prompting Public

    Behavior Prompting Policy: Demonstrations as Prompts for Manipulation

    Python 18

  6. gated-memory-policy gated-memory-policy Public

    Official Implementation of Paper [Gated Memory Policy], arXiv:2604.18933

    Python 36 1

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