Intan Zaurah Mat Darus

University of Technology Malaysia, University of Sheffield

Papers

9

Total Citations

63

H-Index

5

About

Intan Zaurah Mat Darus is a researcher whose work sits at the intersection of intelligent control systems, flexible robotics, and emerging technologies in electric vehicle automation. Her most significant contributions center on the modeling and control of flexible robotic manipulators, where she has pioneered the application of evolutionary and bio-inspired algorithms — including Bacterial Foraging Optimization and Artificial Bee Colony algorithms — to tune hybrid PID controllers for suppressing vibration and achieving precise hub motion control in multi-link flexible robotic arms. A particularly notable thread of her research involves employing neural network architectures, such as multi-layer perceptron and NNARX models, to capture the complex nonlinear dynamics of flexible structures, work she began as early as 2004. More recently, her research portfolio has expanded into the growing field of robotic electric vehicle charging, including the characterization of connector plugging processes using force/torque measurements. Her most cited paper on evolutionary PID controller implementation has garnered 19 citations, reflecting meaningful influence within the robotics control community. Collectively, her work bridges classical control theory with modern computational intelligence, making her research highly relevant to Industry 4.0 applications and sustainable transportation technologies.

Research Focus

Key Achievements

5
H-Index
9
Papers
63
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Implementation of PID Based Controller Tuned by Evolutionary Algorithm for Double Link Flexible Robotic Manipulator
19 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: University of Technology Malaysia, University of Sheffield

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago