Tianfu Ai
Papers
2
Total Citations
31
H-Index
2
About
Tianfu Ai is a robotics researcher specializing in the aerodynamics and control of novel coaxial ducted fan aerial robots, with a particular focus on their operation in constrained and complex environments. His major contributions include the development of advanced modeling techniques for aerial robots interacting with ground effect and corner environments—critical for enabling precise hover and manipulation tasks in confined spaces. In his most-cited work (20 citations), Ai presents an aerodynamic analysis and control strategy for a coaxial ducted fan robot in ground effect, deriving experimental thrust curves that significantly improve stability during low-altitude flight. His second highly cited paper (11 citations) extends this work by employing artificial neural networks to model aerodynamic interference when the robot operates near wall corners, enabling tasks such as switching wall-attached buttons. These contributions are notable for bridging the gap between theoretical aerodynamics and practical robotic manipulation in infrastructure inspection and maintenance. Ai’s research has direct implications for the design of safer, more capable aerial robots for industrial and urban environments, earning him recognition as an emerging leader in field robotics.
Research Focus
Key Achievements
Top Papers
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