Zhenzhou Fu
Papers
2
Total Citations
11
H-Index
2
About
Zhenzhou Fu is a robotics researcher whose work bridges intelligent manufacturing and aerial vehicle control. His primary research areas include robotic spray painting trajectory planning, surface segmentation algorithms, and novel multicopter design and control. Fu’s most significant contribution is a genetic algorithm-based surface segmentation method for spray painting robotics, which introduces two novel approaches for dividing complex surfaces. One method isolates the largest continuous patch, while the other minimizes the number of segments, both critical for optimizing robot trajectory planning and improving coating efficiency. This work, published in 2017, has accumulated 8 citations, demonstrating its relevance in industrial robotics. Additionally, Fu has explored aerial robotics through the modeling and control of a new multicopter with propellers oriented in three distinct directions. This innovative design enables complete independent control of position and attitude, allowing the vehicle to maintain a desired orientation while maneuvering—a capability valuable for inspection and manipulation tasks. Though early in his career, Fu’s contributions to surface segmentation for spray painting and unconventional multicopter control showcase a talent for solving practical engineering challenges with algorithmic and mechanical ingenuity.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modeling and control of a new multicopter3 citations · 2017