Ramli Adnan

Faculty (United Kingdom), Universiti Teknologi MARA

Papers

Total Citations

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About

Ramli Adnan is a prominent researcher in control systems, robotics, and environmental monitoring, with a particular focus on applying advanced computational methods to real-world challenges. His work spans nonlinear state estimation, autonomous navigation, and human-robot interaction. Adnan’s most cited paper, “Parameters effect in Sampling Importance Resampling (SIR) particle filter prediction and tracking of flood water level performance” (22 citations), demonstrates his expertise in Monte Carlo simulation methods for dynamic system tracking, integrating GIS databases to improve flood prediction accuracy. He also contributed to wireless robotics with “Wireless Hand Gesture Controlled Robotic Arm Via NRF24L01 Transceiver” (18 citations), showcasing innovation in intuitive control interfaces. In agricultural automation, his paper on “Simultaneous localization and mapping based real-time inter-row tree tracking technique for unmanned aerial vehicle” (13 citations) proposes novel SLAM-based row detection methods for autonomous UAVs. Adnan’s work bridges theoretical particle filtering and practical deployment in flood monitoring, robotic control, and precision agriculture, making significant impacts in safety-critical and autonomous systems. His research continues to influence students and engineers working at the intersection of estimation theory and applied robotics.