RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
[L4DC 2026] "FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation"
ConTrack: Constrained Hand Motion Tracking with Adaptive Trade-off Control
Web Pilot (Browser OS): Run full Node.js+Python+Bash & AI agents purely in the browser with a 10MB WASM file. No cloud, zero deployment.
A framework for robot parametric model identification and calibration
Comprehensive examples and tutorials for the [FIGAROH-PLUS](https://github.com/thanhndv212/figaroh-plus) library
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr00t N1.5 and N1.6 and GEAR-SONIC
[RSS 2025 Best Systems Paper Finalist] 💐Official implementation of "Learning Humanoid Standing-up Control across Diverse Postures"
X5Shrink is a system image compression tool specifically designed for **RDK X5** development boards. It has been deeply adapted for the hardware characteristics and partition structure of RDK X5.
This project has implemented a servo controller based on the CAN2.0A to FTSCS1.0 protocol, supporting all control commands for FEETECH servo motors.
This is a MATLAB-based reinforcement learning framework that includes the Proximal Policy Optimization (PPO) algorithm and its multi-agent extension (MAPPO). It supports GPU acceleration and parallel computing, making it suitable for research and engineering applications in control systems.