DrMin Yu

Research Overview
Dr Min Yu's research focuses on in-situ multimodal sensing of mechanical interfaces, enabled by acoustic, electrical, and optical methods, multiphysics simulations, data-driven technologies, advanced signal processing, control, and optimization algorithms. Core applications include in-situ lubrication condition sensing for mechanical drives and transmissions, and haptic sensing for bio-inspired, industrial, and medical robotics.

Research Keywords
Ultrasound reflection (UR); Acoustic Emission (AE); Guided Wave (GW); Laser Induced Fluorescence (LIF); Fiber Bragg Grating (FBG); Electrical Impedance Spectrum (EIS); Triboelectric Nanogenerator (TENG); Magnetorheological (MR) Fluid; Mechatronics; Measurement; Instrumentation; Signal Processing; Robust Control; Machine Learning.

Research Projects
In-situ lubrication condition sensing:
*** Ultrasound reflection for lubrication condition sensing
*** Acoustic emission for lubrication condition sensing
Robotic haptic sensing:
*** Acoustic sensing for enhanced environmental awareness of bio-Inspired soil burrowing robots
*** Data-driven fibre-optic tactile sensing of robotic hands
*** Data-driven triboelectric nanogenerator (TENG) multimodal haptic sensing
*** Magnetorheological fluid interface for adaptive haptic feedback in robot-assisted surgery

Past Project
*** Mechatronic suspension systems for enhanced ride performance