Wan Nurshazwani Wan Zakaria
Tun Hussein Onn University of Malaysia, Universiti Teknologi MARA
Papers
8
Total Citations
43
H-Index
4
About
Wan Nurshazwani Wan Zakaria is a robotics and autonomous systems researcher whose work spans industrial robot kinematics, autonomous navigation, and medical robotics. She is perhaps best known for her foundational analyses of the Mitsubishi Melfa RV-2AJ five-degree-of-freedom robot manipulator, with her 2014 paper on forward kinematics accumulating 15 citations — her most impactful work to date. Complementing this, her studies on inverse kinematics and SimMechanics-based simulation of the same platform demonstrate a rigorous, end-to-end approach to industrial robot modeling. Beyond traditional manipulators, Wan Nurshazwani has made meaningful contributions to autonomous mobile systems, developing ROS-based SLAM and path planning frameworks for unmanned surface vehicles and warehouse autonomous mobile robots, reflecting a sustained interest in real-world deployment of intelligent navigation. Her research also extends into medical robotics, where she explored force-controlled and neuro-fuzzy-assisted robotic systems for Transcranial Magnetic Stimulation, highlighting sensitivity to human-robot interaction in clinical settings. Early work on vision-based object recognition for warehouse robots further underscores her interdisciplinary reach. With contributions across more than a decade, Wan Nurshazwani represents a versatile and evolving voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1Forward kinematics analysis of a 5-axis RV-2AJ robot manipulator15 citations · 2014
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- 4MODELING AND SIMULATION OF A 5-AXIS RV-2AJ ROBOT USING SIMMECHANICS4 citations · 2015
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- 6INVERSE KINEMATICS ANALYSIS OF A 5-AXIS RV-2AJ ROBOT MANIPULATOR3 citations · 2015
- 7
- 8Force-controlled Transcranial Magnetic Stimulation (TMS) robotic system3 citations · 2012