Mohamad Farid Misnan
Papers
2
Total Citations
28
H-Index
2
About
Mohamad Farid Misnan is a researcher specializing in autonomous mobile vehicle navigation and agricultural robotics. His work focuses on developing robust, real-time tracking and localization systems, with key contributions in both industrial and agricultural applications. His most-cited paper, "Single infra-red sensor technique for line-tracking autonomous mobile vehicle" (2011, 15 citations), introduced a cost-effective, floor-based line-tracking method widely adopted for automated material transport in warehouses and factories, as well as in competitive robotics. Building on this, his 2012 work "Simultaneous localization and mapping based real-time inter-row tree tracking technique for unmanned aerial vehicle" (13 citations) advanced agricultural automation by proposing a novel SLAM-based row detection method for UAVs, enabling precise navigation through tree rows for tasks like crop monitoring. These contributions demonstrate Misnan’s impact in bridging sensor-based navigation with practical, real-world deployment, offering scalable solutions for both structured indoor environments and unstructured agricultural fields. His research continues to influence autonomous systems, emphasizing efficiency and adaptability in mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 2