Robotics

Robotics is an interdisciplinary field that integrates principles from mechanical engineering, electrical engineering, computer science, and artificial intelligence to design, construct, and operate autonomous machines. The mathematical foundations of robotics encompass kinematics, dynamics, control theory, and algorithms for perception and decision-making. Key algorithms include path planning (e.g., A* and Dijkstra's algorithms), localization (e.g., Kalman filters), and motion control (e.g., PID controllers). Robotics systems often employ sensors (e.g., cameras, LIDAR, IMUs) for environmental perception and actuators (e.g., motors, servos) for physical interaction. The relationship to AI is evident in the use of machine learning techniques for improving robot autonomy and adaptability in complex environments, thereby enhancing their ability to perform tasks ranging from industrial automation to service applications.