Yukang Cui
Papers
2
Total Citations
16
H-Index
2
About
Yukang Cui is a researcher at the forefront of agricultural robotics and multi-robot systems, whose work bridges deep learning, perception, and autonomous decision-making. His primary research areas include precision agriculture, robotic manipulation, and distributed multi-agent coordination under uncertainty. Cui’s major contribution lies in developing efficient, real-time detection systems for fruit harvesting—most notably, his work on cherry tomato detection using an improved YOLOv7-Tiny neural network, which integrates multimodal perception to overcome accuracy and speed challenges in cluttered farming environments. This paper has already garnered 14 citations, reflecting its immediate impact on the agricultural robotics community. More recently, Cui has advanced the field of multi-robot tracking by introducing adaptive, risk-aware strategies for monitoring adversarial targets, where heterogeneous robots must reconfigure their network under attack. This work, published in 2025, demonstrates his ability to tackle complex, real-world coordination problems. Through his innovative fusion of vision-based detection and resilient multi-agent control, Yukang Cui is shaping the future of autonomous systems in agriculture and beyond.
Research Focus
Key Achievements
Top Papers
- 1
- 2