Fengyun Wang
Papers
2
Total Citations
9
H-Index
2
About
Fengyun Wang is a researcher specializing in agricultural robotics and machine vision systems, with a focus on automating labor-intensive tasks in horticulture and post-harvest processing. Their work bridges mechanical design, control systems, and computer vision to create practical solutions for crop harvesting and quality assessment. Wang’s most cited paper, “Hand-arm coordination for a tomato harvesting robot based on commercial manipulator” (2013, 7 citations), presents a novel executive system that integrates a custom end-effector with a commercial Motoman manipulator. By enabling communication between the manipulator’s enclosed controller and the end-effector’s PMAC controller through coordinated programming in PComm32PRO and WINCAPS, Wang achieved precise hand-arm coordination—a critical step toward viable robotic harvesting. This work demonstrates a pragmatic approach to adapting industrial hardware for agricultural tasks. More recently, Wang contributed to “Design of Agaricus Bisporus Automatic Grading System Based on Machine Vision” (2019, 2 citations), extending their expertise to quality inspection. While citation counts are modest, Wang’s contributions are foundational in advancing automation for specialty crops, offering templates for integrating off-the-shelf robotics with custom sensing and control. Their research continues to influence the development of efficient, cost-effective agricultural robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2