Mohammad Zaidi Ariffin
Papers
6
Total Citations
140
H-Index
5
About
Mohammad Zaidi Ariffin is a leading researcher in soft robotics and intelligent manipulation, whose work bridges the gap between compliant actuation and high-precision industrial automation. His most impactful contribution, the 2022 paper on "3D Printing of Robotic Soft Grippers," has garnered 90 citations and established new paradigms for smart actuation and sensing in deformable robotic systems. Ariffin’s research addresses critical challenges in contact-rich tasks, from developing fast kinematic re-calibration methods for industrial arms (29 citations) to creating planning frameworks that leverage hydroelastic contact models for complex insertions. His work on haptic-based teleoperation and learning from demonstration has advanced compliant box-in-box insertion, a cornerstone application for modern logistics. More recently, Ariffin has focused on identifying intrinsic friction and torque ripple in robotic joints with integrated sensors, enabling delicate manipulation tasks like wheel-bearing characterization. His innovative approach to modeling axial misalignment in robotic valve turning demonstrates a rare ability to translate complex physical interactions into practical, quasi-static models. With a growing citation impact and a portfolio that seamlessly integrates 3D printing, sensor fusion, and learning-based control, Ariffin is shaping the future of robots that can safely and intelligently interact with their environment.
Research Focus
Key Achievements
Top Papers
- 13D Printing of Robotic Soft Grippers: Toward Smart Actuation and Sensing90 citations · 2022
- 2Fast Kinematic Re-Calibration for Industrial Robot Arms29 citations · 2022
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