Wahidin Wahab
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
Top Papers
- 1Autonomous mobile robot navigation using a dual artificial neural network16 citations · 2009
- 2
- 3Multivariable Self-tuning for Robotic Servo Applications5 citations · 1987
- 4MULTIVARIABLE SELF-TUNING FOR ROBOTIC SERVO APPLICATIONS3 citations · 1987