Papers

24

Total Citations

619

H-Index

14

About

Fan Shi is a robotics researcher whose work sits at the intersection of aerial robotics, transformable systems, and robot manipulation. Best known for pioneering the DRAGON robot — a dual-rotor-embedded multilink platform capable of multi-degree-of-freedom aerial transformation — Shi's research has fundamentally advanced how unmanned aerial vehicles interact with and manipulate their environments. This landmark 2018 paper has accumulated nearly 200 citations, establishing Shi as a leading voice in transformable aerial robotics. Shi's broader contributions span the full design-to-deployment pipeline: developing novel mechanical architectures, motion planning algorithms based on differential kinematics, and robust flight control strategies for fully actuated aerial systems. Work on platforms such as HALO and multilinked multirotor systems demonstrates a consistent drive to push aerial robots beyond passive flight toward dexterous, shape-adaptive manipulation — including the technically sophisticated challenge of aerial regrasping. More recently, Shi has expanded into legged robotics and humanoid systems, contributing to quadrupedal dexterous manipulation and Wasserstein adversarial imitation learning for humanoid locomotion, reflecting a broadening research vision. With over 500 cumulative citations across a decade of rigorous publication, Fan Shi represents an important and evolving force in embodied robot intelligence.

Research Focus

Key Achievements

14
H-Index
24
Papers
619
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Design, Modeling, and Control of an Aerial Robot DRAGON: A Dual-Rotor-Embedded Multilink Robot With the Ability of Multi-Degree-of-Freedom Aerial Transformation
197 citations · 2018
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: The University of Tokyo, Tokyo University of Technology, National University of Singapore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago