Navigation & Maps

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. Every implementation is explicitly mapped to academic literature or foundational robotics textbooks, ensuring that the mathematical models and control strategies remain verifiable and accurate. Users can execute these scenarios within a decoupled simulation environment that maintains its own internal state and control loops, requiring no external dependencies. The capability surface covers a broad range of robotic domains, including aerial navigation, bipedal locomotion, and multi-joint arm control. It features extensive toolkits for probabilistic sensor fusion, environmental mapping, and trajectory tracking, all powered by high-performance numerical computation. Real-time geometric animations and state estimations are rendered directly from simulation data using standard plotting libraries.