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Official Hardware Codebase for the Paper "BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities"
Interactive visualizations of the geometric intuition behind diffusion models.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
[ICLR2025] A PyTorch implementation for STORM: Spatiotemporal Reconstruction Model for Large-Scale Outdoor Scenes
Newton's simulation environment using Nvidia's Isaac Sim
Training code for slip detection with Anyskin sensor
A Modular Toolkit for Robot Kinematic Optimization
Teleoperation of LEAP Hand using Manus Gloves
[SIGGRAPH 2025] PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer
External extenstion template based on Isaac Lab
Accompanying code for training VisuoSkin policies as described in the paper
Codebase for Berkeley Humanoid Lite
Code base for See to Touch project: https://see-to-touch.github.io/
Official implementation of Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play.
[IEEE RAL'25 & IROS'25] UA-MPC: Uncertainty-Aware Model Predictive Control for Motorized LiDAR Odometry
Official implementation of the project HuDOR: Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards project. Website: https://object-rewards.github.io
Official implementation of "AnyCar to Anywhere: Learning Universal Dynamics Model for Agile and Adaptive Mobility"