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.
About the Authors’
Mrs. Sukerthi Sutraya is working as an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at G. Narayanamma Institute of Technology and Science. She has 13 years of teaching experience in the field of Computer Science and Engineering. She has published 10 research papers in reputed international journals and conference proceedings and has been granted six patents. She is currently pursuing her Ph.D. at Koneru Lakshmaiah Education Foundation (formerly Koneru Lakshmaiah University), Hyderabad. Her research interests include Machine Learning, Deep Learning, and Artificial Intelligence.
Dr. P. Sunil Kumar Reddy is a Sr Architect with over 22 years of Industrial and research experience in Computer Science. He is currently working as Sr Architect at Persistent Systems India , Hyderabad, and obtained his Ph.D. from Sri Venkateswara University (SVU), Tirupati. He obtained his M.C.A. from PSG College of Arts and Science, Coimbatore. His research interests include Big data Analytics, Information Retrieval Systems, and Data Mining. He has published 10 Scopus-indexed international Conferences & Journals.
Mr. Adarsha S P is an Assistant Professor in the Department of Computer Science and Engineering (IoT, CyberSecurity with Blockchain Technology) at Dayananda Sagar College of Engineering, Bengaluru. With over 9 years of teaching experience, he specializes in Data Structures, Algorithms, Data Science, Python Programming, C Programming, Deep Learning, Machine Learning, CyberSecurity and Computer Networks. He is currently pursuing his Ph.D. from Visvesvaraya Technological University (VTU). He has guided numerous UG projects in AI/ML and Data Analytics, published several research papers in peer-reviewed journals, and holds a published patent on ML-based phishing detection.
Mr. A. Joshua Issac is an Assistant Professor in the Department of Artificial Intelligence and Data Science at K. Ramakrishnan College of Technology, Trichy. His academic and research interests are focused on Artificial Intelligence, Cyber Security, Cyber-Physical Systems, Machine Learning, and emerging technologies. He is actively involved in teaching, student project mentoring, research activities, technical paper publications, and academic development. His work includes research related to Cyber-Physical System security, cyber attacks, Artificial Intelligence, and intelligent security solutions.
Ms. Vaddithandra Vijaya is an Assistant Professor in the Department of Computer Science and Engineering at Sreenidhi University, Yamnampet Ghatkesar,Hyderabad, Telangana-501301.She brings over 15 years of teaching experience in higher education. Her areas of expertise include Artificial Intelligence, Machine Learning, Robotic Process Automation, Computer Networks, and Software Engineering. She is deeply passionate about integrating emerging technologies into academic practice and fostering innovative thinking among students. Her teaching approach emphasizes practical learning, conceptual clarity, and industry relevance. Ms. Vijaya actively contributes to curriculum development and student mentoring, preparing future engineers to meet evolving technological challenges. She is currently pursuing her Ph.D. in Machine Learning at Anna University, Guindy, Tamil Nadu. She has published several research papers in Scopus-indexed journals and presented at international conferences. In addition, she holds granted patents and utility patents for her innovative work. She is also a recipient of the prestigious Indian Icon Teaching award.
