Zhaoxi Li

Papers

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About

Zhaoxi Li is a leading researcher in vision-based pose estimation and autonomous navigation for robotic and aerial systems. His work centers on solving critical challenges in space robotics and unmanned aerial vehicle (UAV) landing, particularly through the use of geometric primitives like circles and lines. His most influential contribution, "Satellite Pose Estimation via Single Perspective Circle and Line" (2018, 68 citations), addresses a fundamental problem in space robotics: determining a satellite’s position and orientation from a single camera view. By leveraging the known geometry of a docking ring, Li’s method resolves the dual-pose ambiguity and recovers the roll angle, enabling more reliable capture maneuvers for space robots. In parallel, his work on "Fast vision‐based autonomous detection of moving cooperative target for unmanned aerial vehicle landing" (2018, 26 citations) introduces a rapid detection algorithm (FTD) that uses a double-circle and cross target design. This approach significantly improves the speed and accuracy of UAV landing on moving platforms, with direct applications in autonomous logistics and surveillance. Li’s research bridges theoretical geometry with practical robotics, earning recognition for its efficiency and real-world impact. His contributions are essential reading for engineers and researchers working on autonomous systems, computer vision, and space operations.