Papers
3
Total Citations
13
H-Index
2
About
Yuping Ye is a rising researcher in intelligent robotics and 3D vision, whose work centers on high-precision automated grasping and perception systems. Ye’s major contributions lie in integrating structured light sensors with deep learning to enable real-time object recognition and robotic manipulation. Notably, their 2024 paper on a “High-efficiency automated triaxial robot grasping system for motor rotors” (6 citations) demonstrates a practical, vision-guided solution for industrial automation, achieving both speed and accuracy. In 2023, Ye developed a “Food Package Recognition and Sorting System” (5 citations) that combines structured light and deep learning to create a flexible, teachable robotic arm capable of adapting to diverse sorting scenarios—a significant advance over traditional fixed-program robots. Most recently, Ye’s 2025 work on “High-precision underwater turbidity removal” (2 citations) introduces division-of-focal-plane polarization to enhance 3D reconstruction in challenging aquatic environments, expanding the frontier of underwater robotics. With a growing citation record and a focus on bridging computer vision and robotic control, Ye’s research offers scalable solutions for manufacturing, logistics, and environmental monitoring, marking them as a promising innovator in applied robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3