Papers
1
Total Citations
3
H-Index
1
About
Dr. Ziqi Xu is a robotics and computer vision researcher whose work focuses on the intersection of autonomous systems and intelligent control. Their most notable contribution is the development of a UAV landing aid hexapod robot, which integrates a six-degree-of-freedom walking platform with computer vision techniques—specifically ArUco markers and sparse optical flow—to enable dynamic target tracking. This system uses a binocular camera to measure a UAV’s real-time position and orientation, allowing the hexapod to actively adjust its landing platform for precise, stable touchdowns. While their highly specialized work has garnered early citations, it represents a significant step forward in autonomous landing systems for unmanned aerial vehicles, particularly in challenging or moving environments. Dr. Xu’s research bridges mechanical design, control systems, and visual perception, offering practical solutions for field robotics. Their innovative approach to combining legged robotics with UAV operations demonstrates a forward-thinking vision for cooperative autonomous systems, making their work of interest to researchers in drone technology, computer vision, and mobile robotics.
Research Focus
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Top Papers
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