Wan Abdul Syaqur Norzam

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About

Wan Abdul Syaqur Norzam is a robotics researcher whose work bridges autonomous navigation and environmental sensing, with a focus on mobile robot olfaction and mapping. His most cited paper, "Analysis of Mobile Robot Indoor Mapping using GMapping Based SLAM with Different Parameter" (2019, 43 citations), established foundational insights into how parameter tuning in GMapping-based Simultaneous Localization and Mapping (SLAM) affects indoor mapping accuracy—a critical contribution for deploying robots in unknown environments. Building on this, his 2022 study "Mobile Robot Gas Source Localization Using SLAM-GDM with a Graphene-Based Gas Sensor" (13 citations) pioneers the integration of reduced graphene oxide gas sensors into mobile olfaction systems. By replacing conventional metal oxide sensors—which suffer from high power consumption and slow recovery—with graphene-based alternatives, Norzam demonstrated a more efficient approach to gas source localization. This work directly addresses key limitations in mobile olfaction, offering a pathway toward faster, lower-power environmental monitoring. Norzam’s research sits at the intersection of SLAM, sensor technology, and autonomous systems, with clear applications in hazardous environment exploration and pollution tracking. His contributions are particularly notable for advancing practical, energy-efficient solutions in field robotics.