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repos: 16.0 gists: 0.0

Type: Organization

Bio: This is a collorative, open-source library for robot learning, mainly using techniques like deep reinforcement learning, robotics simulation, computer vision.

Robot-Learning-Library

Robot control with learning methods is hard in general, we open-source the code here for boosting our research and development.

Contents:

What we will provide in this repository:

  • Robot learning environments:

    • Based on MuJoCo;
    • Based on Isaac Sim;

  • Basic robotic control:

    • Inverse kinematics;
    • Trajectory generation;
    • System identification;

  • Learning methods:

    • Domain randomization；
    • A deep RL library with PyTorch (or JAX, to be determined);
    • Imitation learning;
    • Meta-learning across tasks;

  • Real robot control:

    • ROS;

  • Additional:

    • Tactile sensory;

Projects:

There is a list of projects using these repository:

robot-learning-library's Projects

decision-transformer icon decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

dexteroushands icon dexteroushands

This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym

hand_dapg icon hand_dapg

Repository to accompany RSS 2018 paper on dexterous hand manipulation

mjrl icon mjrl

Reinforcement learning algorithms for MuJoCo tasks

nerf icon nerf

Code release for NeRF (Neural Radiance Fields)

readme icon readme

README to see the desriptions and news of this organization!

robolite icon robolite

This is a fork of Surreal Robotics Suite that enables support to domain randomization and inverse kinematics (IK).

tcdm icon tcdm

Code release for "Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps"

vima icon vima

Official Algorithm Implementation of Paper "VIMA: General Robot Manipulation with Multimodal Prompts"

vimabench icon vimabench

Official Task Suite Implementation of Paper "VIMA: General Robot Manipulation with Multimodal Prompts"

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