Papers
2
Total Citations
39
H-Index
2
About
Xueyong Xu is a rising researcher at the intersection of agricultural robotics and socially-aware autonomous navigation. His work primarily focuses on enabling robots to perceive and interact with dynamic environments, from blueberry fields to crowded pedestrian spaces. Xu’s most cited paper, “Is this blueberry ripe?” (2023, 34 citations), introduces a novel deep learning algorithm for real-time blueberry ripeness detection, directly addressing a critical bottleneck in agricultural automation: the scarcity of skilled manual pickers. This contribution provides a practical, vision-based solution for picking robots, advancing precision agriculture. In parallel, Xu explores human-robot interaction with “SocialGAIL” (2024, 5 citations), a generative adversarial imitation learning framework that produces faithful crowd simulations for training social navigation policies. This work tackles the challenge of creating realistic, cost-effective training environments for robots operating in crowded spaces. By bridging the gap between agricultural task automation and socially compliant navigation, Xu’s research demonstrates a versatile approach to deploying robots in unstructured, real-world settings, making significant strides toward practical, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2SocialGAIL: Faithful Crowd Simulation for Social Robot Navigation5 citations · 2024