Papers
7
Total Citations
77
H-Index
3
About
Dr. Runxin Niu is at the forefront of agricultural robotics, pioneering the integration of machine vision and artificial intelligence to solve one of the most pressing challenges in precision agriculture: automated fruit and vegetable harvesting. His research centers on developing robust visual perception systems that enable robots to accurately recognize, localize, and pick crops in complex, unstructured environments. Dr. Niu’s most influential work, an overview of machine vision in harvesting robots (44 citations), has become a foundational reference in the field. He has made significant contributions to occluded object recognition, notably creating an improved YOLOv7 model that dramatically enhances the detection of cherry tomatoes hidden by leaves or other fruit—a critical breakthrough for real-world harvesting efficiency. Beyond perception, Dr. Niu has advanced robotic mobility and control, designing novel six-tracked robots with adaptive obstacle traversal capabilities for rugged field conditions. His recent work on fusing generative large models with the Agriculture Internet of Things (AIoT) represents a cutting-edge approach to overcoming operational inefficiencies. With a growing body of highly cited publications spanning from 2021 to 2025, Dr. Niu is establishing himself as a leading innovator in intelligent agricultural robotics.
Research Focus
Key Achievements
Top Papers
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- 2An occluded cherry tomato recognition model based on improved YOLOv712 citations · 2023
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- 7Motion Planning and Performance Analysis of a Novel Six-Tracked Robot2 citations · 2021