Mohd Hasnun Arif Hassan
Papers
2
Total Citations
6
H-Index
2
About
Mohd Hasnun Arif Hassan is a researcher at the forefront of intelligent manufacturing, mechatronics, and autonomous robotics. His work is anchored in advancing Industry 4.0 technologies, with a particular focus on integrating smart systems into manufacturing processes. Hassan made a significant contribution by editing the proceedings of the Symposium on Intelligent Manufacturing and Mechatronics (SympoSIMM 2018), a key publication that captures cutting-edge research under the theme “Strengthening Innovations Towards Industry 4.0.” This volume, which has garnered 4 citations, serves as a foundational resource for engineers and academics exploring the convergence of manufacturing and intelligent systems. More recently, Hassan has delved into the critical challenge of robotic navigation, co-authoring a comprehensive review of Kalman filter variants for simultaneous localization and mapping (SLAM). This 2025 paper, already accumulating 2 citations, addresses the essential issues of linearization and covariance initialization in mobile robotics, offering a vital roadmap for researchers developing autonomous systems. Through his editorial leadership and technical reviews, Hassan is shaping the discourse on how intelligent machines perceive and interact with their environments, making his work indispensable for students and professionals in mechatronics and robotics.
Research Focus
Key Achievements
Top Papers
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- 2