Haoyuan Liu
Papers
4
Total Citations
28
H-Index
3
About
Haoyuan Liu is a robotics researcher specializing in aerial manipulation and autonomous UAV navigation. His work centers on developing robust control and localization strategies for multi-rotor aerial robots operating in challenging, dynamic environments. Liu’s major contributions include the modeling and adaptive control of hexacopters equipped with passive manipulators for aerial manipulation tasks, addressing critical issues such as collision handling, external disturbances, and changing inertia. His research on adaptive trajectory linearization control for underactuated systems has been influential, with his most-cited paper, “Modeling and control of a hexacopter with a passive manipulator for aerial manipulation” (2021), garnering 16 citations. More recently, Liu has advanced the field of UAV localization by proposing a learning-based IMU dead-reckoning method to enhance Visual Inertial Odometry (VIO) performance under sudden lighting variations—a common and hazardous challenge in real-world flights. He has also contributed to the development of a simulation environment for air-ground collaborative robots with strong physical interactivity. With a growing citation record and a focus on practical, high-impact problems, Liu is establishing himself as a promising researcher in aerial robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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