Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Robot learning, manipulation, autonomous driving, simulation and embodied agents.
Signals: robotics, ros, ros2, embodied-ai, autonomous-driving, self-driving-car, manipulation, drone
951 results
Particle-in-cell code for plasma simulation
A driver for ublox gps
An image processing pipeline for ROS.
Optimal Control for Switched Systems
Connect the latest version of Gazebo with ros2_control.
NVIDIA-accelerated packages for arm motion planning and control
A better replacement for the ROS2 launch system: intuitive, simple, memorable.
CANopen driver framework for ROS2
Deep learned, NVIDIA-accelerated 3D object pose estimation
Tracing tools for ROS 2.
Official ROS Driver for DepthAI Sensors.
Safety-critical controllers for single/multi robotic navigation: CBF-QP, MPC-CBF, and etc.
The Mesh Navigation Stack: Efficient Mobile Robot Navigation in Uneven Terrain
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)
🐳 Dockerfiles to provide HTML5 VNC interface to access Ubuntu Desktop + ROS 2
UMI-3D SLAM and Data Processing Pipeline: https://umi-3d.github.io/
SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds
The Python Vehicle Simulator is software that supplements the textbook "Handbook of Marine Craft Hydrodynamics and Motion Control," 2nd Edition, by T. I. Fossen, published in 2021 by John Wiley & Sons Ltd.
High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.
A mission planner and visualizer for controlling outdoor ROS robots.
Open sourced digital twin simulator for Autoware
Generic robotic controllers to accompany ros2_control
自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.
24,535 repositories in the index in total.
