Next-Generation Mechatronics: Artificial Intelligence and Intelligent Robotics
Mrs. Sukerthi Sutraya, Dr. Sunil Kumar Reddy, Mr. Adarsha S P, Mr. A. Joshua Issac, Ms. Vaddithandra Vijaya · Zenodo (CERN European Organization for Nuclear Research) · 2026
Next-Generation Mechatronics: Artificial Intelligence and Intelligent Robotics presents a comprehensive exploration of the convergence of mechatronics, artificial intelligence, machine learning, robotics, and intelligent automation. The book introduces the fundamental principles of modern mechatronic and intelligent systems and explains their evolution from conventional mechanical systems to connected cyber-physical technologies. It covers sensors, smart sensing, actuators, embedded controllers, servo motors, data acquisition, and intelligent control systems. Key AI concepts including machine learning, deep learning, reinforcement learning, computer vision, prediction, optimization, and intelligent decision-making are examined in the context of mechatronic applications. The book provides detailed insights into sensor fusion, adaptive control, predictive control, fuzzy logic, and neural network-based control approaches. It explores robotic components, kinematics, trajectory planning, motion control, robotic perception, autonomous navigation, path planning, and obstacle avoidance. Advanced topics include localization and mapping, AI-based robotic decision-making, human–robot interaction, collaborative robots, multi-robot systems, and swarm robotics. The book also addresses safety, ethics, cybersecurity, reliability, explainability, and trustworthy AI for autonomous robotic systems. Applications are discussed across intelligent manufacturing, smart factories, healthcare and rehabilitation robotics, agriculture, logistics, service robotics, autonomous vehicles, and drone systems. Particular attention is given to Industry 4.0, Internet of Things, cloud computing, edge computing, digital twins, and connected intelligent machines. The book demonstrates how AI can transform traditional automation into adaptive, data-driven, and increasingly autonomous mechatronic systems. It highlights practical system architectures based on the continuous interaction of sensing, computation, decision-making, control, actuation, and feedback. Emerging technologies such as smart materials, intelligent actuators, energy-efficient systems, collaborative robotics, and distributed intelligence are also considered. With its systematic, technically sound, and application-oriented approach, the book serves as a valuable reference for understanding contemporary developments in AI-driven mechatronics and intelligent robotics.