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ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dat…
Generic and simple controls framework for ROS 2
This is a repository for reinforcement learning implementation for Unitree robots, based on Mujoco.
Official implementation of Kimodo, a kinematic motion diffusion model for high-quality human(oid) motion generation.
Wow such top. So stats. More better than regular top.
Mosaico - The data platform for Physical AI
A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
openvla / openvla
Forked from TRI-ML/prismatic-vlmsOpenVLA: An open-source vision-language-action model for robotic manipulation.
The Time Series Visualization Tool that you deserve.
Python bindings for Fast DDS. Looking for commercial support? Contact info@eprosima.com
Open standard for machine learning interoperability
The most complete DDS - Proven: Plenty of success cases. Looking for commercial support? Contact info@eprosima.com
📦🚀 Fully automated version management and package publishing
Convert from URDF file format to MJCF file format
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
Supervisor process control system for Unix (supervisord)
PACE: A systematic approach for sim-to-real transfer of legged robots, identifying actuator and joint dynamics with standard joint encoders.
Learn how to design a footstep planner for humanoid robots, breaking down the entire process step by step: 2D footsteps planning, 3D feet trajectory generation, ZMP and CoM trajectory generation.
Python inverse kinematics using Pinocchio and QP solvers
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
The fastai book, published as Jupyter Notebooks
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.