About the Book
Artificial intelligence (AI) and mechatronics are booming areas where most of the industrial sectors are becoming smart nowadays. This handbook includes material of multidisciplinary content from the AI, mechanical, and electronics engineering domains, among others. It gives insights into various application sectors discussing current global developments in mechatronics employing AI technology and addressing the complexity of current issues and the effects of diverse mechatronics systems.
Handbook of AI-Based Mechatronics Systems and Smart Solutions in Industrial Automation focuses on system automation, predictive analysis, preventive analysis, and real-time decision-making systems for next-generation automation. It discusses the advancements of mechatronics systems using AI applications along with the global approach toward smart industrial automation and presents the impact of AI on today’s work of autonomous and industrial automation. The book discusses future research potential and is beneficial to manufacturing, healthcare, and finance disputes, while it offers AI algorithms to analyze large amounts of data and identifies patterns, trends, and anomalies for accurate predictions and optimization processes. The handbook also addresses use cases and case studies related to AI in mechatronics along with applications.
Scholars in the field of AI in mechatronics and related applications will find this book useful. In particular, attention is drawn to both fundamental ideas and important practical contexts. Readers interested in the most recent findings in the field of problem-oriented processing approaches in mechatronics, including those in academia, data science, industry, research, and graduate and undergraduate students, will find this fascinating handbook extremely interesting.
Table of Contents:
1. AI in Mechatronics Engineering. 2. AI Frameworks in Mechatronics Engineering. 3. Extendable AI in Mechatronics Engineering. 4. The Resilience of Artificial Intelligence in the Mechatronics Sector: Challenges and Future Directions. 5. Fault Diagnosis and Predictive Maintenance Using AI in the Mechatronics Industry. 6. Control Systems Optimization Using AI in Mechatronics Engineering. 7. Robotics and AI in Mechatronics Industry. 8. Arm Controlled Waste Picking Robot Rover Utilizing Image Recognition Model Server, iOS, and Microcontroller Application over Bluetooth. 9. Industrial Automation and AI in Mechatronics Industry. 10. AI-Based Sustainable Solution for Energy Management in the Mechatronics Industry. 11. Advancements in Path Tracking: Integrating Q-Learning, Reinforcement Learning, and Artificial Neural Networks for Autonomous Robotics. 12. Industrial AI for the Smart Manufacturing Sector. 13. The Contemporary AI-Based Data-Gathering Environment in Smart Manufacturing Enterprise. 14. Case Studies and Applications of AI in the Mechatronics Sector. 15. Future Research Directives of AI in Mechatronics Engineering.
About the Author :
Pushpalatha Naveenkumar is an Assistant Professor in the Department of Electrical and Electronics Engineering at Sri Eshwar College of Engineering, Coimbatore. Her research interests include power electronics and drives, power quality, the Internet of Things (IoT), electric vehicles, and artificial intelligence. She is a life member of the Indian Society for Technical Education (ISTE) and has guided many student projects in the area of IoT and power electronics. She has 13+ years of experience teaching engineering.
Vandana Sharma is recognised in the Stanford list of the top 2% of scientists. She is an accomplished academician and researcher, serving as an Associate Professor at Christ University’s Delhi NCR Campus, India. A Senior Member of IEEE, she has an impressive publication record, with over 100 research papers in esteemed SCI and Scopus-indexed international journals and conferences. Dr. Sharma actively contributes to the academic community through various roles, including keynote speaking, session chairing, reviewing, and participating in Technical Program Committees for renowned international journals and IEEE conferences. She holds a postdoctoral degree from Lincoln University College, Malaysia, and adjunct positions at Perdana University, Malaysia, and Beni-Suef University, Egypt, where she is also a Senior Fellow of the Scientific Innovation Research Group (SIRG).
Gunapriya Devarajan is an Assistant Professor with 15+ years of experience at various engineering colleges and is currently associated with Sri Eshwar College of Engineering, Coimbatore. Her areas of interest include electrical machines and drives, artificial intelligence, and renewable energy resources. Her research is with induction motor fault analysis using thermal images. She has published with reputed journals and has book chapters and a patent to her credit.
Azween Abdullah is a Professor at the Faculty of Computing and Digital Technology at HELP University, Malaysia. Dr. Abdullah contributed research, teaching, consulting, and administrative services at the institutions where he has worked. He is a professional development alumnus of Stanford University and the Massachusetts Institute of Technology (MIT), and his work experience includes 30+ years as an academic at institutions of higher learning and as director of research and academic affairs at two institutions of higher learning, vice president for educational consultancy services, 15+ years at commercial companies as a software engineer, systems analyst, and computer software developer and IT/MIS consultancy and training. Dr. Abdullah has several patents under his name and has actively served as an expert reviewer and editorial board member for several high-impact technical journals. He has 150+ publications to his credit published in various technical journals and conference proceedings and has given technical talks at a number of key international conferences, industry summits, and forums.
Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt, while simultaneously serving as an Associate Professor at the College of Computer Information Technology, American University in the Emirates, and as an Adjunct Professor at the School of Technology, Woxsen University, India. As the Founder and Head of the Scientific Innovation Research Group (SIRG) and the Director of the Technological and Informatics Studies Center (TISC), Dr. Elngar has established himself as a prolific researcher with more than 150 scientific papers published in prestigious international journals and over 35 books covering diverse topics including data mining, intelligent systems, social networks, smart environments, Internet of Things (IoT), network security, intrusion detection, machine learning, artificial intelligence, big data, authentication, cryptology, and healthcare and automation systems. A collaborative researcher and member of both the Egyptian Mathematical Society (EMS) and the International Rough Set Society (IRSS), Dr. Elngar serves as an editor and reviewer for numerous international journals worldwide. His exceptional contributions to the field have been recognized with several awards, including the Young Researcher in Computer Science Engineering from the Global Outreach Education Summit and Awards 2019 in Delhi, India, and the Best Young Researcher Award (Male) (Below 40 years) at the Global Education and Corporate Leadership Awards (GECL-2018) in Rajasthan, India.
