Yihua Fang

University of Nottingham

Papers

3

Total Citations

106

H-Index

3

About

Yihua Fang is a leading researcher in the field of continuum robotics, with a primary focus on the design, control, and navigation of hyper-redundant, snake-like robotic systems. His major contributions include pioneering an efficient follow-the-leader strategy for continuum robot navigation and coiling, which addresses the significant challenges of limited sensing and high computational loads in these complex structures. This work, his most cited paper with 72 citations, provides a novel algorithm that enables more practical and reliable autonomous movement. Fang has also advanced the state of the art in robot design, developing a multiple-section continuum robot with a hybrid sensing system (28 citations) that enhances precision for high-value applications in aerospace and nuclear inspection. Additionally, he has created a universal stiffening sleeve designed to improve the structural integrity of various continuum robot systems. Through these innovations, Fang has made substantial contributions to making continuum robots more versatile, controllable, and deployable in real-world industrial settings, establishing himself as a key figure in the ongoing maturation of this transformative technology.

Research Focus

Key Achievements

3
H-Index
3
Papers
106
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
An Efficient Follow-the-Leader Strategy for Continuum Robot Navigation and Coiling
72 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Nottingham

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago