Papers
5
Total Citations
31
H-Index
4
About
Yu Mei is a rising leader in soft robotics, focusing on the core challenges of modeling, control, and embodied perception for these highly compliant systems. Her work bridges mechanical design with advanced data-driven and physics-informed algorithms to make soft robots more predictable and functional. She has made key contributions to stiffness tuning in pneumatic actuators, enabling soft robots to dynamically adjust their rigidity for improved control and disturbance rejection. Mei also pioneered methods for simultaneous shape reconstruction and force estimation using distributed inductive curvature sensors, a critical step toward giving soft robots a true sense of proprioception and exteroception. Her research on cable-driven soft arms, inspired by octopus tentacles, introduces novel modular designs with nonlinear modeling approaches. With papers published in 2023 and 2024 already accumulating over 30 citations, Mei’s work is rapidly gaining traction. Her integration of physics-informed online estimation for stiffness and shape represents a significant advance, promising to unlock safer, more capable soft robotic manipulators for human-centric applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Semi-Physical Modeling of Soft Pneumatic Actuators With Stiffness Tuning8 citations · 2023
- 3
- 4Design and Nonlinear Modeling of a Modular Cable-Driven Soft Robotic Arm5 citations · 2024
- 5