Shuangyu Xie
Papers
5
Total Citations
59
H-Index
3
About
Shuangyu Xie is a robotics researcher advancing precision agriculture through intelligent weed management systems. Her work centers on developing robotic solutions for sustainable farming, with key contributions in weed detection, targeted herbicide application, and novel flaming techniques. Xie’s most cited paper (38 citations) tackles the challenging problem of detecting nutsedge weed in bermudagrass turf using deep learning with inaccurate and insufficient training data—a critical step toward autonomous robotic weed control. She further developed an automated micro-volume herbicide spray system (14 citations), integrating both software and hardware to minimize chemical usage and environmental impact. More recently, Xie has pioneered robotic weed flaming using a mobile manipulator with a blowtorch, addressing the complexities of manipulating soft, deformable targets in field conditions. Beyond agriculture, she has contributed to pretouch perception algorithms for object material and structure mapping, enhancing robotic grasping and manipulation capabilities. Her work demonstrates a commitment to environmentally friendly farming technologies, with potential to significantly reduce herbicide reliance while maintaining crop yields.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5