Selected Proceedings from the 3rd International Conference on Intelligent Manufacturing and Robotics, ICiMR 2025, 11-12 Nov., Kuala Lumpur, Malaysia

This book presents proceedings from the 3rd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2025 Held on 11 and 12 November in Kuala Lumpur, Malaysia. This proceedings deliberates on the key challenges, engineering and scientific discoveries, innovations, and advances on intelligent manufacturing and robotics that are non-trivial through the lens of Industry 4.0. In this book, traditional and modern solutions that are employed across the spectrum of various intelligent manufacturing and robotics contexts are presents. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as proposed solutions from this book.

Presents selected peer reviewed articles from ICiMR 2025, held at Sunway University in Kuala Lumpur, Malaysia Includes key challenges, innovations, and advances in intelligent manufacturing and robotics Presents traditional & modern solutions employed across the spectrum of intelligent manufacturing and robotics

Autorentext

Prof. Xiaowei Huang currently holds the position of Professor of Computer Science at the University of Liverpool, where he leads research in machine learning, formal methods, and robotics. His research expertise encompasses the analysis and development of autonomous systems with a focus on their safety, robustness, trustworthiness, and security properties.
Dr. Yang Luo is an Assistant Professor at the School of Intelligent Manufacturing Ecosystem in XJTLU. His primary research interest centers on industrial sustainability, with a focus on reducing dependence on fossil-based energy sources through the implementation of intelligent operations and process planning.
Dr. Mohd Ibrahim Bin Shapiai is an Associate Professor at the Malay-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, where he teaches and conducts research in artificial intelligence, machine learning, brain-computer interfaces, and swarm intelligence. He previously served as a lecturer at UTM's main campus in Skudai, Johor.
Dr. Muhammad Hisyam Rosle received his Bachelor of Engineering and Master of Engineering degrees in Mechanical and Robotics Engineering from Ritsumeikan University, Shiga Prefecture, Japan Since September 2024, he has been a Senior Lecturer at the Malaysia-Japan International Institute of Technology (MJIIT), Mechanical Precision Engineering Department, Universiti Teknologi Malaysia (UTM), Kuala Lumpur, Malaysia.
Dr. Muhammad Amirul Abdullah is a researcher at the Innovative Manufacturing, Mechatronics & Sports (iMAMS) Laboratory, under the Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA). He completed his PhD in Mechatronics Engineering at UMPSA, with his doctoral research focused on the application of machine learning architectures in sports-related technologies. His research interests include machine learning, robotics, control and automation, and sports engineering. His work bridges artificial intelligence and mechatronic systems to improve sports performance analysis, assistive technologies, and automation solutions.
Dr. Richard Wong Teck Ken is a Senior Lecturer at Sunway University's School of Engineering. He was trained as a Mechatronic Engineer during his undergraduate study, and he received his DPhil in Engineering Science from the University of Oxford, UK, where his doctoral research focused on "Speed Control for Low-Energy On-Time Buses," which pioneered the application of optimal control algorithms and artificial neural networks in transportation. Dr. Wong's core research area is operational optimisation for sustainability, with a strong focus on computational intelligence and its applications in the fields of robotics and transportation systems.
Assoc. Prof. Steven Hoo Choon Lih is a Professional Engineer (BEM), a Chartered Engineer (Engineering Council UK, IMechE), and the HRDCorp Certified Trainer. He obtained his Ph.D in Mechanical Engineering from UKM.
Assoc. Prof. Riady Jo is an experienced engineering educator and a robotics and mechatronics engineer by training. He is currently the Programme Leader of Mechatronic Engineering (Robotics) at Sunway University. His research interests include engineering education, robotics, automation, control systems, Internet-of-Things (IoT) applications, AI applications in robotics, small-scale energy harvesting and numerical solutions for non-linear PDEs.