1st Edition

Foundations of Robotics Mechatronics, Cybernetics, and AI

By Charles Fox, Jonathan Aitken Copyright 2027
440 Pages 156 B/W Illustrations
by CRC Press

440 Pages 156 B/W Illustrations
by CRC Press

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 .... Read more

Introduction

Part I: Mechatronics - Building Robots

Chapter 1. Building Robots

Chapter 2. Programming Robots

Chapter 3. Working with Space and Time 

Chapter 4. Mechanics

Chapter 5. Electromagnetism

Chapter 6. Sensors

Part II: Cybernetics - Controlling Robots 

Chapter 7. Controlling Behaviours

Chapter 8. Kinematics and Inverse Kinematics 

Chapter 9. Dynamics and Inverse Dynamics 

Chapter 10. Digital Control of Dynamics Trajectories 

Part III: Aritifical Intelligence (AI) - Automating Robots 

Chapter 11. Probabilistic AI

Chapter 12. Tracking, Localisation and Mapping 

Chapter 13. Planning 

Chapter 14. Neural Networks 

Chapter 15. Robot Vision

Chapter 16. Transformers and Foundation Models  

Biography

Charles Fox is the Programme Leader of MSc Robotics and AI at the University of Lincoln, UK. The programme provides a unified approach linking traditional Computer Science and Engineering topics with modern AI. He served as the programme chair of the UK’s robotics and AI conference, TAROS, in 2021. Fox advises leading venture capital, investment bank, and private equity firms on AI strategy and implementation. He studied MA Computer Science at Cambridge, MSc Informatics at Edinburgh, and DPhil Information Engineering at Oxford. He has won teaching awards from students and universities and is the author of over 100 peer-reviewed publications and the book ‘Computer Architecture: from the stone age to the quantum Age’ with No Starch Press.

Jonathan Aitken is Senior University Teacher in the School of Electrical and Electronic Engineering at the University of Sheffield, UK. Previously as a Research Fellow he worked in the Autonomous Control Laboratory within the Autonomous Systems and Robotics Group of the Department of Automatic Control and Systems Engineering. His research focuses on autonomous reconfiguration of robotic systems, especially on quadcopter platforms. Dr Aitken holds an MEng and PhD in Electronic Engineering, both awarded by the University of York. He has previously worked in the Computer Science Department at the University of York’s High Integrity Systems Engineering Group, working on safety in Systems-of-Systems.