Recent Trends in Mechatronics Towards Industry 4.0

Selected Articles from iM3F 2020, Malaysia
1. Auflage 2022
ISBN: 978-981-334-599-7
Verlag: Springer Nature Singapore

Buch, Englisch, Band 730, 1022 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1539 g

Reihe: Lecture Notes in Electrical Engineering

This book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Ab. Nasir, Ahmad Fakhri

Ibrahim, Ahmad Najmuddin

P. P. Abdul Majeed, Anwar

Ishak, Ismayuzri

Mat Yahya, Nafrizuan

Zakaria, Muhammad Aizzat

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Technik Allgemein Nanotechnologie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

Hybrid Manta Ray Foraging – Particle Swarm Algorithm for PD Control Optimization of an Inverted Pendulum.- Multi-Objective Particle Swarm Optimization with Alternate Learning Strategies.- Self-Directed Mobile Robot Path Finding in Static Indoor Environment by Explicit Group Modified AOR Iteration.- Position and Swing Angle Control of Nonlinear Gantry Crane System.

Über Autor(innen)

Dr. Ahmad Fakhri bin Ab. Nasir received his bachelor’s degree in Information Technology from Universiti Malaya. He enrolled as a full-time master student at the Faculty of Manufacturing Engineering, Universiti Malaysia Pahang, and received his master’s degree in Engineering (Manufacturing). He pursued his Ph.D. specialised in Pattern Recognition at the Universiti Sultan Zainal Abidin. He joined Universiti Malaysia Pahang as Senior Lecturer in the midst of 2016. He has published several articles and actively doing research related to computer vision, pattern recognition, image processing, machine learning, as well as parallel computing. 

Dr. Ahmad Najmuddin Ibrahim earned his first degree, B.Eng. majoring in Intelligent Systems Engineering at the University of Ibaraki, Japan, in 2011. He continued his M.Eng. in Intelligent Systems Engineering and graduated in 2013. He obtained his Ph.D. Engineering in the year 2017 at the Ibaraki University Graduate School of Science and Engineering majoring in Industrial Science. He is a Senior Lecturer for the Mechatronics Engineering course and a research member in Innovative Manufacturing, Mechatronics & Sports (IMAMS) Laboratory at the Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang.

Dr. Ismayuzri Ishak graduated in B.Eng. (Hons.) (Mechanical Engineering) at Universiti Malaysia Pahang in 2009. He received M.Eng. (Manufacturing), Universiti Malaysia Pahang, in 2013, and further studied at Florida Institute of Technology, USA, in 2014. His research interest includes robotics, additive manufacturing, theoretical kinematics and mechatronics.

Dr. Nafrizuan Mat Yahya graduated in B.Eng. (Hons.) (Manufacturing Engineering with Management) at Universiti Sains Malaysia in 2004. He received M.Eng. (Manufacturing), Universiti Malaysia Pahang, in 2009, and further studied at the University of Sheffield, UK, by 2016 in Automatic Control & Systems Engineering. He is the Headof the Cybernetics and Systems Engineering Laboratory (CSEL) research group, Former Head of Control System Engineering Lab and Former Head of Program (Mechatronics) in Faculty of Manufacturing Engineering, Universiti Malaysia Pahang.

Dr. Aizzat earned his first degree in Electrical–Mechatronics Engineering at the Universiti Teknologi Malaysia. After finished his first degree, he pursued a career as Process R&D Engineer at Intel Microelectronics. He pursued a doctoral degree in Mechatronic Engineering specialised in the Autonomous Vehicle development at the Universiti Teknologi Malaysia in Kuala Lumpur.  He has published many research articles related to autonomous vehicle development in Malaysia. His research interests include intelligent vehicle navigation, vehicle stability control, robotics system modelling, and mechatronics system.

Anwar P.P. Abdul Majeed graduated with a first-class honour B.Eng. in Mechanical Engineering from Universiti Teknologi MARA (UiTM),Malaysia. He obtained an M.Sc. in Nuclear Engineering from Imperial College London, UK. He then received his Ph.D. in Rehabilitation Robotics from the Universiti Malaysia Pahang (UMP). He is currently serving as Senior Lecturer at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. He is an active research member at the Innovative Manufacturing, Mechatronics and Sports Laboratory (iMAMS), UMP. His research interest includes rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis as well as machine learning. Anwar has authored over 60 papers in different journals, conference proceedings as well as books. He serves as a reviewer of a number of prolific journals such as IEEE Access, Frontiers in Bioengineering and Biotechnology, SN Applied Sciences, Applied Computing and Informatics, amongst others. He has also served as a Guest Editor for SN Applied Sciences as well as Editorfor several Springer book series.