Yongfeng Rong
Papers
7
Total Citations
106
H-Index
5
About
Yongfeng Rong is a leading researcher in aerial robotics, specializing in the control and interaction of unmanned aerial vehicle (UAV) manipulators. His work focuses on solving critical challenges in high-precision attitude control under disturbances, human-UAV interaction, and mobile manipulation. Rong’s most significant contributions include developing advanced anti-disturbance control methods, such as fuzzy adaptive saturation super-twisting sliding mode observers and disturbance observer-based backstepping control, which dramatically improve the stability and accuracy of quadrotor manipulators in the presence of external wind and model uncertainties. His 2020 paper on anti-disturbance control has garnered 33 citations, while his work on intuitive end-to-end human-UAV interaction systems for field exploration has been cited 27 times. Rong has also pioneered novel approaches to mobile manipulation, integrating enhanced AMCL localization with dynamic tracking grasp, and has recently explored wheeled visuotactile sensing for aerial physical interaction with unknown surfaces. His research bridges theoretical control design with practical applications in field exploration and complex physical interaction, making him a notable figure in advancing the capabilities of aerial robotic systems for real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 2An Intuitive End-to-End Human-UAV Interaction System for Field Exploration27 citations · 2020
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