Papers
5
Total Citations
109
H-Index
4
About
Xiaozhen Zhang is a leading researcher in multi-robot systems and robotic manipulation, with a focus on cooperative aerial transportation and intelligent grasping. Her work bridges the gap between theoretical control and practical autonomy. She has made major contributions to the control of tethered multi-rotor UAVs for cooperative transportation, developing integrated analysis, planning, and control frameworks that enable multiple drones to carry a single payload. Her 2021 paper on this topic has accumulated 71 citations, reflecting its foundational impact on the field. Zhang also advances 3D vision-based robotic grasping, proposing the UPG framework for prediction in multi-object scenes (19 citations), and developing improved point cloud segmentation methods using dynamic graph CNNs for robust grasping in cluttered environments. Her research on distributed formation control with bearing constraints and planar affine formation maneuvers has introduced novel parameter design methods that enable flexible, economical formation changes. With additional work on joint estimation and affine formation control using displacement measurements, Zhang continues to shape the future of cooperative robotics and autonomous manipulation.
Research Focus
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