Foundations of Robotics: Mechatronics, Cybernetics and AI

This book introduces readers to graduate-level study of robotics through an integrated, interdisciplinary approach that spans mechatronics, control theory, computer science, and AI.It is designed to unite students from these fields, equipping them with the collaborative skills needed to excel in robotics. It is structured around three core pillars: Mechatronics, Cybernetics, and AI.Mechatronics introduces practical tools and materials for robot building, programming, and design, covering open-source hardware, sensors, actuators, and embedded systems like ROS2.Cybernetics explores feedback, control, kinematics, and dynamics, enabling the execution of complex trajectories for robots such as drones, mobile robots, and robotic arms, grounded in linear algebra and Lagrangian mechanics.AI explores modern transformer-based models, including GPTs and diffusion models, teaching robots to perceive, learn, and plan using Bayesian probability, neural networks, and PyTorch programming.Together, the