Open-source alternatives to Apollo

The Robot Operating System Version 2.0 is awesome!

PX4-Autopilot is a professional-grade flight control software stack designed for autonomous unmanned vehicles, including multicopters, fixed-wing aircraft, and vertical takeoff and landing platforms. It operates as a modular, real-time framework that decouples flight control logic from hardware drivers through a publish-subscribe middleware architecture. The system utilizes a deterministic microkernel runtime to execute time-critical flight control loops and sensor fusion tasks, ensuring stable navigation and vehicle operation. The platform distinguishes itself through a parameter-driven conf

This project is flight control autopilot software designed as a real-time operating system for managing the flight dynamics and navigation of autonomous multicopters, fixed-wing aircraft, and rovers. It serves as a multi-vehicle autopilot framework that supports various aircraft configurations, including vertical takeoff and landing platforms across industrial environments. The system includes a MAVLink communication stack for exchanging telemetry and command data between unmanned vehicles and ground control stations. It also provides a software-in-the-loop flight simulator to test autopilot

jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

F Prime is a component-based framework designed for the development and deployment of embedded and spaceflight software. It provides a modular architecture that decouples software logic from communication interfaces, allowing developers to define system structures through a domain-specific modeling language. This model-based approach enables automated code generation, ensuring consistency across complex system topologies while maintaining strict interface contracts between software modules. The framework distinguishes itself through its integrated build system and ground data operations suite

BEVFormer is a perception framework that transforms multi-camera images into bird's-eye-view representations for autonomous driving. It functions as a multi-camera vision pipeline that integrates multiple camera streams into a single unified spatial perspective to facilitate environmental understanding. The system implements a transformer-based architecture that employs query-based feature extraction and spatiotemporal networks to aggregate spatial image features and temporal historical data. It uses recurrent temporal accumulation to maintain a persistent memory of the scene across consecuti

PCDet is a LiDAR 3D object detection toolbox and point cloud processing library built on the PyTorch deep learning framework. It provides a system for identifying and locating three-dimensional objects within point cloud data. The project utilizes a data-model separation pattern to decouple dataset loading logic from the core detection pipeline. It features a multi-sensor fusion pipeline that combines data from multiple sensors into a shared spatial view and a distributed GPU training system to scale workloads across multiple graphics processors. The toolkit covers several capability areas,

OM1 is a multimodal AI agent runtime and orchestration framework designed to connect large language models to physical robot hardware and sensors. It provides an execution environment that processes audio, video, and sensor data to drive autonomous decisions and actions in real-world settings. The system integrates a robotics SLAM and navigation stack with a hardware abstraction layer, allowing high-level AI commands to be translated into low-level motor and actuator instructions. It distinguishes itself by incorporating blockchain-based governance to enforce immutable operational rules and p

AirSim is a high-fidelity simulation platform designed for the development and testing of autonomous vehicles. Built as a plugin for game engines, it provides a physics-based environment that models vehicle dynamics and sensor data, serving as a foundation for robotics research, computer vision training, and reinforcement learning. The platform distinguishes itself through its support for hardware-in-the-loop and software-in-the-loop testing, allowing developers to validate control logic and firmware against real-world signals or concurrent processes. It offers extensive programmatic control

This project is a collection of deep learning courseware and instructional materials. It provides a structured curriculum and practical demonstrations covering the fundamentals of neural network architectures and artificial intelligence. The materials include specialized tutorials and guides on generative adversarial networks for synthetic data generation, as well as reinforcement learning resources focused on decision-making and motion planning for autonomous robotics. The content covers broad capability areas including computer vision development, the implementation of feed-forward and con

NuttX is a POSIX-compliant real-time operating system designed for microcontrollers ranging from 8-bit to 64-bit architectures. It provides a deterministic execution environment with a real-time task scheduler and a POSIX embedded kernel to ensure portable code execution across diverse hardware targets. The project distinguishes itself through a comprehensive hardware abstraction layer that provides standardized drivers for I2C, SPI, CAN, and USB across various semiconductor chipsets. It also features an embedded networking stack supporting TCP, UDP, IPv4, and IPv6, alongside industrial proto

This project provides a comprehensive technical guide and framework for engineering large-scale machine learning systems. It covers the full lifecycle of model development, focusing on the infrastructure and computational principles required to build, train, and serve generative AI models across distributed GPU clusters. The repository distinguishes itself by offering deep-dive tutorials and implementation strategies for complex system challenges. It emphasizes high-performance architectural primitives, such as collective communication orchestration, distributed tensor sharding, and static gr

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication. Doxygen Source Code Documentation :

The Open-Source Rover Platform is a hardware and software framework for building and controlling six-wheel planetary exploration rovers. It provides a six-wheel robot chassis and a modular robotics framework designed for integrating various motors, wheel sizes, and chassis materials. The platform features a six-wheel chassis equipped with a differential pivot suspension and an Ackerman steering mechanism to enable navigation across rugged outdoor terrain. Control is managed through a communication system that connects central processors to hardware via Bluetooth, WiFi, or USB for remote opera

Open source self-driving software for low speed environments

Learn Robotics with JdeRobot

NASA Astrobee Robot Software

The Python Toolbox for Robotics

ROS-based framework and RPi image to control PX4-powered drones 🍀

PythonRobotics is a comprehensive collection of modular robotics algorithms and educational simulations designed for autonomous navigation, state estimation, and motion control. The project provides a library of standalone implementations for path planning, localization, mapping, and kinematics, serving as a resource for researchers and students to experiment with foundational and advanced robotic theories. The project distinguishes itself through an algorithm-centric design where each module functions as an isolated script, allowing for independent testing and clear pedagogical demonstration

Makani was a project to develop a commercial-scale airborne wind turbine, culminating in a flight test of the Makani M600 off the coast of Norway. All Makani software has now been open-sourced. This repository contains the working Makani flight simulator, controller (autopilot), visualizer, and command center flight monitoring tools. Additionally, almost all avionics firmware is also included, albeit potentially not in a buildable state, due to the removal of some third-party proprietary code. We hope that this code will be inspirational and useful to the kite-based windpower and wider communi

Docker Compose is a tool for defining and running multi-container applications through declarative configuration files. It functions as an application lifecycle manager, coordinating the startup, shutdown, and scaling of interconnected services within isolated environments. By using a standardized configuration format, it enables infrastructure as code, allowing developers to manage complex application stacks and their dependencies in a single, repeatable file. The project distinguishes itself by integrating directly with the broader Docker platform, leveraging a client-server architecture wh

This project is a community-maintained directory of resources for building desktop applications with Electron. It serves as a centralized knowledge base, aggregating high-quality tools, learning materials, and software examples to assist developers in mastering the framework and improving their development workflows. The repository functions as a curated ecosystem index, relying on peer review and community contributions to verify and organize information. By maintaining a structured collection of articles, books, boilerplates, and third-party components, it provides a comprehensive reference

This project is a comprehensive knowledge base and educational resource for JavaScript developers, focused on establishing industry-standard methodologies for automated software testing. It provides a structured collection of design patterns and actionable guidelines designed to improve code reliability, maintainability, and overall software quality across the development lifecycle. The repository distinguishes itself by offering a granular, pattern-based approach to testing that spans unit, integration, and end-to-end verification. It emphasizes specific architectural strategies such as comp

Selenium is a comprehensive browser automation framework that provides a standardized interface for controlling web browsers to perform automated tasks, user interactions, and data extraction. It functions as a cross-browser testing tool, enabling developers to execute identical automation scripts across various browser engines and operating systems to ensure consistent application behavior. By implementing the WebDriver protocol, it maps high-level automation commands to browser-specific drivers using a standardized HTTP-based wire protocol. The project distinguishes itself through its distr

Geth is a comprehensive execution client for the Ethereum network, serving as a foundational node implementation that processes transactions, maintains the distributed ledger state, and participates in peer-to-peer consensus. It provides a robust infrastructure for synchronizing, validating, and serving blockchain data, utilizing a persistent Merkle Patricia Trie database to ensure the cryptographic integrity of historical records. As a sandboxed smart contract runtime, it executes bytecode according to deterministic protocol rules, enabling the deployment and interaction of decentralized appl