Yunqi Huang

University College London

Papers

3

Total Citations

11

H-Index

2

About

Yunqi Huang is pioneering the development of next-generation tactile sensing and control for soft robotics, with a focus on creating compact, high-resolution interfaces for robotic manipulation. Her key research areas include Electrical Impedance Tomography (EIT)-based soft artificial skins and the modeling of soft continuum robots. Huang’s major contribution is the design of a novel multi-layer EIT-based finger-shaped soft artificial skin, which enables dense contact information feedback without the large footprint of traditional sensors—a critical advancement for seamless robotic integration. Her work on 3D-printed patterned soft tactile skins further demonstrates how EIT can be leveraged to create thin-form, distributed contact sensors, with applications ranging from prosthetics to industrial automation. In parallel, Huang has advanced the field of soft continuum robotics by using deep visual models to predict interaction shapes, addressing the challenge of accurate shape modeling for delicate medical interventions. With her most-cited paper already garnering 6 citations shortly after publication, Huang’s research is rapidly gaining recognition for its potential to transform how robots sense and interact with their environment, making her a rising leader in soft robotics and tactile sensing.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Electrical Impedance Tomography Based Finger-Shaped Soft Artificial Skin
6 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University College London

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago