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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. diffusion_policy diffusion_policy Public

    [RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

    Python 2.6k 468

  2. universal_manipulation_interface universal_manipulation_interface Public

    Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

    Python 893 170

  3. scalingup scalingup Public

    [CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down

    Python 394 26

  4. umi-on-legs umi-on-legs Public

    UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers

    Python 343 18

  5. maniwav maniwav Public

    Forked from real-stanford/universal_manipulation_interface

    Official codebase of paper "ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data"

    Python 55 5

  6. im2Flow2Act im2Flow2Act Public

    [CoRL 2024] Im2Flow2Act: Flow as the Cross-domain Manipulation Interface

    Python 121 8

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