Stars
[RSS 2024] "DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation" code repository
"Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation" code repository
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
"MimicPlay: Long-Horizon Imitation Learning by Watching Human Play" code repository
In-Hand Object Rotation via Rapid Motor Adaptation (CoRL 2022), and more
Official JAX implementation of MAGVIT: Masked Generative Video Transformer
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
A playbook for systematically maximizing the performance of deep learning models.
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Examples of how to create colorful, annotated equations in Latex using Tikz.
Isaac Gym Reinforcement Learning Environments
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
PyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"
[NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives
Discovering and Achieving Goals via World Models, NeurIPS 2021
A resource repository for 3D machine learning
Code for CVPR 2019 paper "ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging"
An official repository of paper "Combinatorial 3D Shape Generation via Sequential Assembly", presented at NeurIPS 2020 Workshop on Machine Learning for Engineering Modeling, Simulation, and Design
A collection of reference environments for offline reinforcement learning
References on Optimal Control, Reinforcement Learning and Motion Planning
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
Wasserstein Introspective Neural Networks (CVPR 2018 Oral)