Papers
2
Total Citations
35
H-Index
2
About
Yuye He is a robotics researcher whose work focuses on autonomous navigation, computer vision, and intelligent library systems. Their most significant contribution lies in developing integrated robotic solutions for book accessing and returning (BAR) operations, combining binocular vision with QR code identification systems to enable precise positioning and navigation in complex indoor environments. He’s 2019 paper on autonomous library robots, which has garnered 32 citations, demonstrates how artificial intelligence and mobile robotics can automate tedious manual tasks in modern libraries. Their earlier 2018 work further refined QR code image processing mechanisms to address the limitations of inertial and binocular visual navigation, achieving the high-precision mapping required for reliable book recognition and retrieval. By tackling the challenges of accuracy in library robotics, He has advanced the practical deployment of autonomous systems in structured indoor spaces. Their research bridges the gap between theoretical computer vision and real-world robotic applications, offering a scalable framework for automating inventory management and logistics in libraries and similar environments.
Research Focus
Key Achievements
Top Papers
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