Papers

1

Total Citations

2

H-Index

1

About

Rui-Yi Xu is a pioneering researcher at the intersection of agricultural robotics and precision positioning systems. His primary research areas encompass autonomous navigation, sensor fusion, and SLAM (Simultaneous Localization and Mapping) technologies, with a specific focus on challenging indoor environments like poultry farms. Xu’s most notable contribution is the development of an advanced ubiquitous positioning framework that integrates INS, RTK-GNSS, and UWB with SLAM, dramatically improving the autonomous navigation accuracy of poultry robots. This work, published in 2024, addresses a critical gap in agricultural automation—enabling robots to operate reliably in GPS-denied or cluttered farm settings. While his citation count is still growing (2 citations for this flagship paper), the novelty of his multi-sensor fusion approach has already attracted attention from researchers in precision agriculture and robotics. Xu’s work stands out for its practical applicability: by combining low-cost inertial sensors with high-precision GNSS and UWB, he has created a scalable solution for real-world farm automation. His research promises to revolutionize poultry management through autonomous monitoring and data collection, reducing labor costs and improving animal welfare. As a rising scholar, Xu’s innovative fusion methodology positions him as a key contributor to the next generation of agricultural robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Advanced Ubiquitous Positioning for a Poultry Robot: Integrating INS/GNSS/UWB with SLAM Approach
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Pingtung University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago