Ruiwu Xu
Papers
2
Total Citations
8
H-Index
2
About
Ruiwu Xu is a pioneering researcher in agricultural robotics, specializing in autonomous navigation systems and computer vision for precision forestry. His work focuses on developing intelligent solutions for rubber tree tapping—a labor-intensive task traditionally performed manually. Xu’s major contributions include designing an autonomous navigation system with a trajectory prediction-based decision mechanism for rubber forest environments, addressing the complex multi-objective navigation challenges that impede robotic operation in these settings. His most-cited paper (2024, 6 citations) introduces this system, enabling rubber-tapping robots to navigate autonomously through challenging forest terrains. Additionally, Xu developed the improved YOLOv8n-IRP model (2024, 2 citations), which enhances the detection and positioning of tapping surfaces and key points on rubber trees by integrating receptive field attention mechanisms. This work overcomes the limitations of lightweight algorithms in complex forest conditions. Xu’s research directly advances the automation of rubber tapping, promising to increase efficiency and reduce human labor in tropical agriculture. His innovative approaches to sensor fusion and deep learning for field robotics mark him as an emerging leader in agricultural automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2