Yuanhao Yin
Papers
2
Total Citations
35
H-Index
2
About
Yuanhao Yin is a robotics researcher whose work lies at the intersection of vision-based sensing, autonomous calibration, and intelligent manipulation for industrial and large-scale environments. His primary research areas include robot joint stiffness identification, vision-guided calibration, and optimal measurement strategies for robotic systems. Yin’s major contribution is the development of in-situ, non-contact calibration methods that leverage eye-in-hand cameras and ArUco markers, enabling robots to self-calibrate without external metrology equipment—a critical advancement for flexible manufacturing and field robotics. His most-cited paper, “In-situ robot joint stiffness identification using an eye-in-hand camera with optimal measurement pose selection” (2025, 20 citations), introduces a novel approach that combines real-time vision with optimization to accurately estimate joint stiffness, directly improving robot precision and safety. Another influential work, “Vision-based autonomous robots calibration for large-size workspace using ArUco map and single camera systems” (2024, 15 citations), demonstrates scalable calibration for large workspaces, reducing downtime and cost. Yin’s research has been recognized for its practical impact on autonomous systems, bridging the gap between theoretical robotics and real-world deployment. His work continues to influence the next generation of adaptive, vision-driven robots.
Research Focus
Key Achievements
Top Papers
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- 2