This book is an essential guide to the tech and algorithms of autonomous robots: how they sense, decide, move, learn, and survive in the messy real world. Written in everyday language, it explains robotics through everyday analogies, vivid examples, and a step-by-step sense of discovery.
At its heart is a simple idea: an autonomous robot lives inside a continuous loop of sense, think, and act. The book shows how that loop becomes a full robotic system, from the physical body of wheels, motors, batteries, and gears to the "nerves" of cameras, LiDAR, encoders, and motion sensors. We explore how robots turn noisy, imperfect signals into useful knowledge, how they build maps, estimate their own position, avoid obstacles, and plan safe paths through human spaces.
The book also opens the robot's "brain," explaining feedback loops, control, software architecture, simulation, ROS, and the delicate split between fast reflexes and slower reasoning. Later chapters move into robot learning: imitation, reinforcement learning, neural networks, foundation models, and the new race to build more general-purpose machines.
For anyone with a busy schedule who wants to get to the heart of robotics.
