Papers
6
Total Citations
21
H-Index
3
About
Qiuyan Zhang is a leading researcher in the field of aerial robotics, with a specialized focus on autonomous tree-pruning and physical interaction for power line maintenance. Their work centers on the design, modeling, and control of novel aerial manipulators capable of performing complex, high-precision tasks in challenging outdoor environments. Zhang’s major contributions include the development of the ARSS (Aerial Robot with Suspended Saw) and the AMFCE (Aerial Manipulator with Front Cutting Effector), pioneering robots that can safely and effectively prune trees near high-voltage power lines. To ensure robust performance under external disturbances and model uncertainties, Zhang has advanced control theory by applying nonsingular fast terminal sliding mode controllers and reinforcement learning-based self-adaptive double Q-backstepping methods for trajectory tracking. With over 20 citations across their most influential works, Zhang’s research has directly addressed critical real-world problems in infrastructure maintenance. Their 2023 paper on a self-adaptive double Q-backstepping approach, which achieved 6 citations, represents a significant step toward intelligent, adaptive control for mobile robots. Zhang’s work stands at the intersection of aerial manipulation, nonlinear control, and practical field robotics.
Research Focus
Key Achievements
Top Papers
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- 5ARSS: A Novel Aerial Robot Performs Tree Pruning Tasks3 citations · 2020
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