Papers
8
Total Citations
154
H-Index
6
About
Yu Dang is a robotics researcher whose work bridges soft robotics, biomechanical simulation, and advanced control systems, with a particular focus on medically inspired robotic design. His most recognized contribution is the development of SoGut, a soft robotic gastric simulator that replicates the peristaltic contractions of the human stomach, earning 52 citations and establishing him as a pioneering figure in biologically inspired soft robotic systems. This work built upon his earlier conceptualization of soft pneumatic actuators modeled on gastric motility and his design of ring-shaped soft actuators capable of radial contracting deformation — a motion pattern largely overlooked in the field prior to his investigations. Dang has also made significant strides in control theory for soft robots, applying the Koopman operator framework to achieve offset-free model predictive control of soft manipulators, accumulating 36 citations. His more recent research extends into MRI-compatible robotics, including soft needle manipulators and origami-based Yoshimura continuum manipulators suited for magnetically constrained clinical environments. Across his portfolio, Dang demonstrates a consistent ability to translate biological principles into functional engineering systems, making meaningful contributions to minimally invasive medicine, surgical robotics, and the theoretical modeling of compliant robotic structures.
Research Focus
Key Achievements
Top Papers
- 1SoGut: A Soft Robotic Gastric Simulator52 citations · 2020
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- 5Design and Analysis of an MRI-Compatible Soft Needle Manipulator7 citations · 2024
- 6YoMo: Yoshimura Continuum Manipulator for MR Environment7 citations · 2024
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- 8Design and Analysis of a Yoshimura Continuum Actuator2 citations · 2022