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Tsinghua University
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A digital data-generation pipeline that synthesizes humanoid loco-manipulation data from 3D assets and video priors.
Code for our Tactile Genesis paper
openpi-RLT is an openpi-based real-robot RL system with RL-token-guided action refinement.
HaMeR: Reconstructing Hands in 3D with Transformers
Official repository of T-Rex: Tactile-Reactive Dexterous Manipulation
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
Collection of evals for Inspect AI
A Roadmap to Build World Models for Robot Policy Evaluation
[CVPR 2026] UniDex: A Robot Foundation Suite for Universal Dexterous Hand Control from Egocentric Human Videos
TacForeSight: Force-Guided Tactile World Model for Contact-Rich Manipulation
[Science Robotics 2026] Official Implementation of the paper RL-100
iMac: Translating Actions into Motion and Contact Images for Embodied World Models
Official Codebase for "Do as I Do: Dexterous Manipulation Data from Everyday Human Videos"
MemoryWAM: Efficient World Action Modeling with Persistent Memory
FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation
Official code of Motus: A Unified Latent Action World Model
Our inference and training framework to run on the Cosmos Models
Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
Source code for 👏🏻"CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos"
high-performance inference and serving library for interactive autoregressive video and world models
Controlling diverse robots by inferring jacobian fields with deep networks! Let's make robots understand their bodies!
Official implementation of "Turning Video Models into Generalist Robot Policies"