Xiaoyu Tian

Shenzhen Academy of Robotics

Papers

1

Total Citations

2

H-Index

1

About

Xiaoyu Tian is a robotics researcher whose work focuses on advancing visual perception systems for real-world industrial applications. Their primary research areas include fiducial marker design, computer vision, and occlusion-resilient tracking. Tian’s most notable contribution is the development of CopperTag, a novel fiducial marker system introduced in 2024 that addresses a critical limitation of existing markers like AprilTag and ArUco: their vulnerability to occlusion in cluttered factory environments. By designing markers that remain detectable even when partially hidden by equipment or other objects, Tian’s work bridges the gap between controlled laboratory conditions and the messy realities of industrial robotics. This innovation has immediate practical implications for navigation, docking, and object grasping tasks in manufacturing settings. While still early in their career—with their most-cited paper currently at 2 citations—Tian’s research represents a promising step toward more robust and reliable robotic perception. Their work is particularly valuable for students and engineers seeking to deploy fiducial markers in challenging, real-world environments where traditional systems fail.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
CopperTag: A Real-Time Occlusion-Resilient Fiducial Marker
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Shenzhen Academy of Robotics

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago