Mohd Nazmin Maslan

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Mohd Nazmin Maslan is a researcher advancing the frontiers of industrial robotics and intelligent automation. His work centers on the integration of Internet of Things (IoT) technologies with robotic systems, particularly for enhancing human-machine interaction and wireless control. Maslan’s most cited paper, "Design of an Internet of Things Based Electromagnetic Robotic Arm for Pick and Place Applications" (2020, 6 citations), addresses a critical limitation of conventional industrial robotic arms—their isolation from human operators. By embedding IoT capabilities, he enables real-time interactivity and remote manipulation, bridging the gap between automated systems and human collaboration. His earlier research, "Modeling and Path Planning Simulation of a Robotic Arc Welding System" (2014, 2 citations), demonstrates his foundational expertise in simulation and precision control for manufacturing processes. Though his citation counts are modest, Maslan’s contributions are significant for their practical focus on making robotics more accessible and responsive. His work on IoT-enabled robotic arms holds promise for safer, more flexible industrial environments, where machines and humans can work side by side. For students and researchers exploring the convergence of IoT and robotics, Maslan’s studies offer a clear blueprint for designing interactive, wirelessly controlled automation solutions.