Papers

3

Total Citations

9

H-Index

2

About

Xiahua Cui is a pioneering researcher at the intersection of biorobotics and precision agriculture, whose work draws inspiration from animal biomechanics to solve engineering challenges. His key research areas include bionic robot design, computer vision for agricultural automation, and animal motion characterization. Cui's most impactful contribution is his kinematic analysis of Saanen goat spines across multiple slopes, which has garnered 4 citations and provides a theoretical framework for developing flexible quadruped robots with enhanced stability and agility. He further advanced agricultural robotics with his improved YOLOv4 recognition algorithm for pitaya (dragon fruit), cited 3 times, which integrates coordinate attention and combinational convolution to accurately identify fruits amidst complex branch structures—a critical step toward automated harvesting. Most recently, Cui has explored the motion characterization of goose necks in narrow spaces (2 citations), offering a novel bionic approach to designing robotic arms that balance flexibility and load-bearing capacity in confined environments. His work uniquely bridges zoological observation and practical robotics, demonstrating how nature's solutions can inspire more adaptive machines.

Research Focus

Key Achievements

2
H-Index
3
Papers
9
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of Kinematic Characteristics of Saanen Goat Spine under Multi-Slope
4 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Henan University of Science and Technology, Jilin University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago