Chuangxin He
Papers
7
Total Citations
39
H-Index
4
About
Chuangxin He is a researcher at the forefront of intelligent robotics and precision agriculture, specializing in machine vision, autonomous navigation, and multi-robot coordination. His work addresses critical challenges in agricultural automation, including weed detection through fusion of multiple image processing algorithms, vision-based control systems for tomato picking robots, and area coverage strategies using artificial potential fields for multi-agricultural robots. He has made significant contributions to pedestrian tracking by integrating YOLOv3 with DASiamRPN for intelligent vehicle systems, and developed kinematic consistency controllers for nonholonomic multi-mobile robot formation control. His research on extracting navigation paths for agricultural plant protection robots using machine vision has advanced precision agriculture technologies. With over 39 citations across his most-cited papers, all published in 2021, He's work demonstrates immediate impact in applying IoT data transmission and processing technologies to intelligent agricultural robotics. His innovative approaches to automating labor-intensive tasks like weeding and fruit picking are helping drive the transition toward fully autonomous agricultural systems, making him a notable contributor to the field of agricultural robotics and intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1Intelligent vehicle pedestrian tracking based on YOLOv3 and DASiamRPN10 citations · 2021
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- 5Design of Vision Control System of Tomato Picking Robot4 citations · 2021
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