Papers
28
Total Citations
541
H-Index
11
About
Yuqing He is a prominent robotics researcher whose work centers on aerial manipulation, unmanned aerial vehicles (UAVs), and autonomous robot control. Best known for his foundational contributions to the emerging field of aerial manipulators — robotic systems that combine rotorcraft UAVs with articulated arms — He has helped define both the theoretical and practical landscape of this discipline since its inception. His 2019 survey on aerial manipulator systems, modeling, and control (102 citations) stands as a landmark reference, while his work on grasping moving targets from the air (70 citations) and early rotor-flying manipulator modeling (47 citations) established key frameworks still widely used by researchers today. Beyond manipulation, He has made meaningful contributions to contact force control for emergency industrial applications, large-scale 3D environment registration using enhanced ICP algorithms, visual place recognition through multi-domain feature learning, and adaptive Kalman filtering for nonlinear systems. His research on human-robot interaction further demonstrates his breadth across robotics subdisciplines. Collectively, He's body of work — accumulating over 430 citations — reflects a sustained commitment to expanding what autonomous aerial robots can perceive, decide, and physically accomplish in complex real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Survey on Aerial Manipulator: System, Modeling, and Control102 citations · 2019
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- 3Rotor‐Flying Manipulator: Modeling, Analysis, and Control47 citations · 2014
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- 7A Multi-Domain Feature Learning Method for Visual Place Recognition29 citations · 2019
- 8Adaptive Unscented Kalman Filter and Its Applications in Nonlinear Control29 citations · 2009
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- 10Design and implementation of rotor aerial manipulator system16 citations · 2016