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Sereact (@sereact)
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Exploy: EXport and dePLOY Reinforcement Learning policies
Microban is an affordable, fully 3D-printable, and 100% open-source humanoid robot. Powered by a Raspberry Pi Zero 2W and 19 Dynamixel servomotors, it serves as an accessible DIY platform for learn…
Standalone C++ SDK for Robotiq 2F adaptive grippers (2F-85 / 2F-140 / Hand-E) over Modbus RTU
Open-source framework for the research and development of foundation models.
A benchmark for offline goal-conditioned RL and offline RL
Real-time inference engine for openpi
Simulations and identifiability proof for LeJEPA
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
AlpaSim is an open-source autonomous vehicle simulation platform designed for development and testing of end-to-end AV policies
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Code for "DriftWorld: Fast World Modeling through Drifting"
External-driver adapter and run tooling for trajectory policies in AlpaSim
Tutorial: Tools for Robotic Reinforcement Learning, Hands-on RL for Robotics with EAGER and Stable-Baselines3
Source codes for the paper "RoboWits: Unexpected Challenges for Robotic Creative Problem Solving"
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
An end-to-end open ecosystem for robot learning
Convert Rerun RRD recordings into LeRobot v3 datasets.
[RA-L 2026] Official code repository for "CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion".
Learn embodied AI by building a robot brain from scratch. No robot required.
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
Simulation benchmark from Toyota Research Institute containing 49 tasks that measure the performance of Large Behavior Model policies