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An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.
An open and affordable mini quadruped robot based on ESP32.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
PyTorch code and models for VJEPA2 self-supervised learning from video.
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
Webots Robot Simulator
Dimensional is the agentic operating system for physical space. Command humanoids, quadrupeds, drones, and other hardware platforms in natural language and build multi-agent systems that work seamlessly with physical input (cameras, lidar, actuators).
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
Python package for the evaluation of odometry and SLAM
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
JavaScript framework for robotics, drones, and the Internet of Things (IoT)
RTAB-Map library and standalone application
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
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
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
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 matrices.
A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.