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Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"
Official implementation of "RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks" NeurIPS 2025.
A comprehensive list of papers about Robot Manipulation, including papers, codes, and related websites.
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
Suite of motion imitation methods for training motion controllers.
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.
Official implementation for pi0 steering via DSRL, Steering Your Diffusion Policy with Latent Space Reinforcement Learning (CoRL 2025)
[CoRL 25] Official implementation of SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
🥢像老乡鸡🐔那样做饭。主要部分于2024年完工,非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》,并做归纳、编辑与整理。CookLikeHOC.
VLAC: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
A supervised learning trained reward head for ACT
RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
A curated list of PhD, RA, and Intern openings in Computer Science (CS), Electrical & Computer Engineering (ECE), and Artificial Intelligence (AI). For students to explore opportunities and for fac…
[arXiv 2025] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.
[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., pi0, pi0.5. Fully open-sourced.
hukz18 / Robot-Trains-Robot
Forked from hshi74/toddlerbot[CoRL 2025] Real-world RL. Official implementation of "Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids"
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
This is the official implementation of the paper "ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy".