Papers
4
Total Citations
106
H-Index
3
About
Nikita Andriyanov is a leading researcher in the intersection of computer vision, deep learning, and agricultural robotics. His work focuses on developing intelligent systems for object detection, spatial localization, and autonomous manipulation, with a particular emphasis on fruit harvesting applications. Andriyanov’s major contributions include pioneering the use of YOLOv3 neural networks combined with RealSense depth cameras to estimate the three-dimensional position of apples, achieving 77 citations for this foundational work. He further advanced the field by integrating reinforcement learning with robotic manipulators for automated apple picking, a system that has garnered 21 citations for its innovative approach to adaptive control. His research also addresses fundamental challenges in mobile object tracking, using autoregressive models with multiple roots to smooth movement trajectories and improve coordinate estimation. Andriyanov’s recent work on optical sorting robots demonstrates his commitment to translating computer vision into practical industrial solutions. With a publication record spanning from 2019 to 2024, his research has accumulated over 100 citations, establishing him as a key figure in the development of intelligent, vision-guided robotic systems for precision agriculture.
Research Focus
Key Achievements
Top Papers
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- 4Development of a Computer Vision System for an Optical Sorting Robot2 citations · 2024