Yanyu Zhang
Papers
2
Total Citations
18
H-Index
2
About
Yanyu Zhang is a researcher at the forefront of agricultural robotics and bio-inspired visual navigation. Her work bridges the gap between nature’s elegant solutions and practical engineering challenges, with a focus on enabling autonomous systems to operate reliably in complex, unstructured environments. Zhang’s most notable contribution is the development of Jujube-YOLO, a deep learning model for precise fruit recognition in orchards, which has already garnered 11 citations since its 2025 publication. This work addresses a critical bottleneck in automated harvesting by improving detection accuracy under variable lighting and occlusion. In parallel, her research on visual navigation draws inspiration from the behavioral strategies of diving seabirds, using sparse optical flow and time-to-transit signals from a monocular camera to guide mobile robots—a novel approach that has earned 7 citations. By combining computer vision, robotics, and ethology, Zhang is advancing the frontier of field-deployable autonomous systems. Her interdisciplinary approach, grounded in both practical agricultural needs and fundamental biological principles, positions her as an emerging leader in intelligent robotics for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Visual Navigation Using Sparse Optical Flow and Time-to-Transit7 citations · 2022