Papers
2
Total Citations
9
H-Index
2
About
Qian Fang is a rising researcher in the field of aerial robotics, with a focused expertise in the control and trajectory tracking of unmanned aerial manipulators (UAMs). These novel flying robots, which combine an unmanned aerial vehicle (UAV) with a multi-degree-of-freedom robotic arm, are designed to actively interact with their environment, performing tasks that are dangerous or inaccessible to humans. Fang’s major contributions lie in developing advanced control strategies to enhance the precision and stability of these systems. Notably, their 2022 paper on a trajectory tracking approach using a nonsingular global fast terminal sliding mode and an RBF neural network has garnered 6 citations, highlighting its impact on the field. In a subsequent 2022 work, Fang proposed a composite control scheme integrating an extended state observer to regulate contact force during physical interactions, a critical challenge for aerial manipulation. This work, with 3 citations, further underscores their ability to address real-world operational demands. Through these contributions, Qian Fang is advancing the capabilities of aerial manipulators, paving the way for their deployment in inspection, maintenance, and rescue missions.
Research Focus
Key Achievements
Top Papers
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- 2