Papers
2
Total Citations
40
H-Index
2
About
Nan Di is a leading researcher in space robotics and computer vision, specializing in robust, real-time visual perception systems for autonomous orbital operations. Her work focuses on the critical challenge of enabling space robotic arms to accurately and reliably identify and localize cooperative targets—a prerequisite for tasks such as satellite servicing, debris removal, and docking. Di’s most influential contribution, the 2017 paper “Robust, fast and accurate vision-based localization of a cooperative target used for space robotic arm,” has garnered 29 citations for its pioneering approach to achieving high precision under the extreme lighting and motion conditions of space. She further advanced the field with her 2015 study on on-orbit real-time robust cooperative target identification in complex backgrounds, which proposed a novel algorithm leveraging target-specific features to overcome visual clutter and dynamic environments. These works have established foundational techniques for relative position and orientation measurement between space manipulators and target objects, directly impacting the development of autonomous rendezvous and capture systems. Di’s research bridges the gap between theoretical computer vision and practical aerospace engineering, offering scalable solutions for the next generation of intelligent space robotics.
Research Focus
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Top Papers
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