Wahidin Wahab

University of Indonesia, University of Manchester

Papers

4

Total Citations

30

H-Index

3

About

Wahidin Wahab is a pioneering figure in intelligent robotics and control systems, with a career spanning over three decades. His research focuses on autonomous mobile robot navigation, high-precision industrial robotics, and advanced servo control. Wahab’s most influential work, "Autonomous mobile robot navigation using a dual artificial neural network" (2009, 16 citations), introduced a novel approach to motion planning by employing dual neural networks to enable safe, target-seeking navigation in complex environments. This contribution laid the groundwork for intelligent, collision-free robotic movement. He further demonstrated his engineering acumen in "Modelling, simulation and control of a high precision loading-unloading robot for CNC milling machine" (2017, 6 citations), where he developed a robot for intraocular lens manufacturing, achieving precise Cartesian position control with DC servo motors. Earlier, his foundational work on "Multivariable Self-tuning for Robotic Servo Applications" (1987, 5 and 3 citations) advanced adaptive control theory for robotic systems. Wahab’s research bridges theoretical control algorithms with practical, high-stakes industrial applications, making him a respected authority in robotics and automation. His work continues to inspire students and researchers in intelligent control and precision engineering.

Research Focus

Key Achievements

3
H-Index
4
Papers
30
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous mobile robot navigation using a dual artificial neural network
16 citations · 2009
📈 Most Prolific Year: 1987 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Indonesia, University of Manchester

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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