Autonomous Driving & Robotics Simulators

Open-source simulator for autonomous driving research. High-fidelity simulation of urban environments with realistic physics, sensors, and traffic scenarios. Widely used for training and validating self-driving algorithms. MIT licensed.

Open-source multi-platform robot simulator providing a complete development environment for modeling, programming, and simulating robots, vehicles, and mechanical systems. Used in education, research, and industry. Apache 2.0 licensed.

High-performance physics-enabled 3D simulator for embodied AI research. Supports 3D scans of indoor/outdoor spaces, CAD models, and configurable sensors. Powers Meta's embodied AI research. MIT licensed.

General-purpose simulation platform for embodied AI and robotics research with flexible scenes, sensors, and agent workflows. Apache 2.0 licensed.

Operating system for robotics. Currently upgrades driver assistance systems on 300+ supported cars. End-to-end autonomous driving stack with open-source hardware and software. MIT licensed.

World's leading open-source software project for autonomous driving. Complete stack from localization and object detection to route planning and control. Used by 50+ companies globally. Apache 2.0 licensed.