Papers
6
Total Citations
104
H-Index
5
About
Mohd Zain’s research sits at the intersection of bio-inspired robotics, intelligent control, and emerging applications in electric vehicle (EV) infrastructure. His early, most-cited work—a 2011 paper on active force control with fuzzy logic for a two-link arm driven by pneumatic artificial muscles (47 citations)—established his reputation in soft and human-like actuation. He advanced this by modelling and controlling a human-like arm that incorporates muscle models (2009, 24 citations), emphasizing simple, computationally efficient control algorithms that can handle vibratory dynamics. Zain also contributed to flexible manipulator control through a hybrid learning approach using multi-objective optimisation (2006, 9 citations), and demonstrated active force control on fluidic muscle systems (2009, 5 citations), highlighting high-tension, high-power pneumatic actuators. More recently, he has pivoted toward robotic charging for electric vehicles (2023, 13 citations) and the physical characterization of EV charging connectors through force/torque measurements (2024, 6 citations). This shift reflects a broadening from fundamental bio-robotic control to practical, real-world automation challenges. Across his career, Zain’s work consistently bridges theoretical control design with experimental validation, making contributions that are both technically rigorous and application-driven.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modelling and control of a human-like arm incorporating muscle models24 citations · 2009
- 3A review of robotic charging for electric vehicles13 citations · 2023
- 4
- 5
- 6Active Force Control of a fluidic muscle system using Fuzzy Logic5 citations · 2009