Robot policies

Open source

CLOVER: Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation

Open source

Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

Open source

Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)

Open source

DexMV: Imitation Learning for Dexterous Manipulation from Human Videos, ECCV 2022

Open source

Official repository of T-Rex: Tactile-Reactive Dexterous Manipulation

Open source

Language-guided whole-body control for general humanoid robots

Open source

"FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation"

Open source

Codebase for DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation

Open source

A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation

Open source

Visual Imitation Enables Contextual Humanoid Control. CoRL 2025, Best Student Paper Award.

Open source

https://arxiv.org/abs/2312.10807

Open source

The first framework enabling humanoid robots to learn whole-body loco-manipulation from egocentric human demos

Open source

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation

Open source

PyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"

Open source

🎉 Official repository of "ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning"

Open source

Learning Manipulation by Predicting Interaction

Open source

Gripper Keypose and Object Pointflow as Interfaces for Bimanual Robotic Manipulation

Open source

Official implementation of "Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots"

Open source

End-to-end robot control based on generative diffusion model

Open source

"Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation" code repository

Open source

Official codebase for Sirius: Robot Learning on the Job

Open source

ViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation