This repository reproduces the Attention-Based Map Encoding (AME) method from the paper Attention-Based Map Encoding for Learning Generalized Legged Locomotion.

AME-2: Agile and Generalized Legged Locomotion via Attention-Based Neural Map Encoding (arXiv:2601.08485) — standalone PyTorch implementation for ANYmal-D

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UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms

Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.

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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

The open source coding agent.

Trajectory optimization in MATLAB for MIT Cheetah

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[ICRA 2026 Oral] Official implementation of "Towards Adaptable Humanoid Control via Adaptive Motion Tracking"

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

[ICRA 2026] GMR: General Motion Retargeting. Retarget human motions into diverse humanoid robots in real time on CPU. Retargeter for TWIST.

Learned Perceptive Forward Dynamics Model

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High-performance LiDAR simulation for MuJoCo with CPU/Warp/Taichi/Jax backends, supporting multiple sensor types and ROS integration. 基于 MuJoCo 的高性能激光雷达仿真，支持 CPU/Warp/Taichi/Jax 多种后端、多种激光雷达类型及 ROS 集成

RL Extension Library for Robots, Based on IsaacLab.