Papers
9
Total Citations
122
H-Index
6
About
Yinyin Su is a leading researcher in soft robotics, with a focus on proprioception, actuation, and sensing for compliant robotic systems. Her work bridges bio-inspired design and intelligent control, enabling soft robots to perceive and interact safely with their environments. Su’s most-cited paper, “A High-Payload Proprioceptive Hybrid Robotic Gripper With Soft Origamic Actuators” (50 citations), introduces a gripper that combines origami-inspired structures with internal sensory feedback, allowing high-force grasping without compromising safety. She further advances soft robot perception through “Soft Robot Proprioception Using Unified Soft Body Encoding and Recurrent Neural Network” (21 citations), which uses machine learning to interpret body deformation. Her research on omnidirectional compliance and cross-linked actuator coordination (15 citations) demonstrates how soft modular robots can achieve multifunctionality akin to earthworms. Su has also contributed to kinematic modeling, 3D-printed multi-cavity actuators with integrated sensing, and soft wearable devices for motion assistance. With over 120 total citations and a growing portfolio of recent publications in 2024–2025, Su is shaping the future of safe, perceptive, and adaptive soft robotic systems for applications in healthcare, manufacturing, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9