openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
- driver-assistance-systems
- robotics
- advanced-driver-assistance-systems
73,362 visible repositories in the index
1–24 of 49 · Most stars
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
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).
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
[IROS 2025 Best Paper Award Finalist & IEEE TRO 2026] The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Isaac Gym Environments for Legged Robots
RL training environments for Microduck (mjlab)
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Humanoid whole-body motion tracking with one differentiable world model.
gradslam is an open source differentiable dense SLAM library for PyTorch
Automated, hardware-independent Hand-Eye Calibration
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving