Ark is a lightweight, Python-first robotics framework designed to simplify the development of robot systems and machine learning workflows. It offers a modular, node-based architecture for managing communication between sensors, actuators, simulations, and control policies. Unlike traditional frameworks like ROS, Ark prioritizes ease of use, fast prototyping, and seamless integration with tools like PyBullet, MuJoCo, and modern ML libraries—making it ideal for both research and real-world robotics deployment.
Whether you're training policies, visualising sensor data, or building full robot pipelines—Ark helps you do it faster, cleaner, and with fewer dependencies.
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