Xiangyan Guo

Papers

Total Citations

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About

Xiangyan Guo is a researcher in space robotics and computer vision, with a focus on autonomous navigation and pose estimation for on-orbit servicing. Their most cited work, "Fast tracking and accurate pose estimation of space flying target based on monocular vision" (2016), addresses a critical challenge in space shuttle missions: enabling spacecraft to autonomously track and determine the position and orientation of uncooperative flying targets using only a single camera. This contribution is foundational for robotic capturing and rendezvous operations, where precise, real-time estimation is essential for mission success. While their citation count is modest, Guo’s research targets a highly specialized and technically demanding niche—monocular vision-based systems for space environments—offering practical solutions that reduce hardware complexity and improve reliability. Their work supports the broader goal of advancing autonomous on-orbit services, such as satellite repair and debris removal, making it valuable for engineers and researchers developing next-generation space robotics. Guo’s contributions highlight the intersection of computer vision and aerospace engineering, providing a pathway for more efficient and cost-effective space missions.