Qigao Fan

Jiangnan University, University of Toronto

Papers

12

Total Citations

612

H-Index

8

About

Qigao Fan is a leading researcher at the intersection of soft robotics, tactile sensing, and intelligent control systems. His work primarily focuses on developing advanced sensing technologies for soft grippers and underwater robotic systems, where he has made significant contributions to enhancing robot-environment interaction. Fan’s most impactful work, "Recent Progress in Advanced Tactile Sensing Technologies for Soft Grippers," has garnered 224 citations, establishing him as a key voice in this domain. He also pioneered the development of all-in-one strain-triboelectric sensors based on environmentally friendly ionic hydrogels, achieving 145 citations for their application in wearable sensing and underwater soft robotic grasping. His comprehensive review on underwater soft robots (98 citations) has become a foundational reference in the field. Beyond soft robotics, Fan has contributed to autonomous navigation and control, including data fusion techniques for indoor mobile robot positioning and robust control strategies for manipulators under uncertainties. His recent work on autonomous navigation of magnetic microrobots for medical applications and high-resolution 3D imaging of *C. elegans* demonstrates his versatility and commitment to pushing the boundaries of robotic manipulation and sensing in complex environments.

Research Focus

Key Achievements

8
H-Index
12
Papers
612
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Recent Progress in Advanced Tactile Sensing Technologies for Soft Grippers
224 citations · 2023
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 55
🏛 Institutions: Jiangnan University, University of Toronto

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago