Luyan Shi
Papers
2
Total Citations
11
H-Index
2
About
Luyan Shi is a researcher whose work sits at the intersection of robotics, computer vision, and human-robot interaction. Their early contributions focused on enhancing robotic perception and autonomy, particularly through the development of a pose estimation method for a table tennis robot. By leveraging the PnP (Perspective-n-Point) algorithm and an improved LSD (Line Segment Detector) for racket tracking, Shi advanced the precision of real-time object detection in dynamic environments—a foundational challenge in sports robotics. This work has garnered 6 citations, reflecting its niche but practical impact on robotic manipulation. Complementing this technical contribution, Shi co-authored a comprehensive review on robot learning and control, specifically examining imitation learning and human-computer interaction. This 2013 paper, with 5 citations, synthesizes key paradigms for endowing robots with the ability to learn from human demonstration and collaborate effectively, addressing a critical shift toward service-oriented robotics. Through this dual focus—on both algorithmic development and conceptual synthesis—Luyan Shi has helped bridge the gap between low-level perception and high-level learning, contributing to the foundational literature that informs how robots understand and interact with their environments.
Research Focus
Key Achievements
Top Papers
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- 2