Yueli Cui
Papers
1
Total Citations
10
H-Index
1
About
Yueli Cui is a researcher at the forefront of intelligent service robotics, with a primary focus on integrating deep learning into real-world automation. Her most cited work, "Designing a Supermarket Service Robot Based on Deep Convolutional Neural Networks" (2020, 10 citations), exemplifies her commitment to practical innovation. In this study, Cui proposes a novel system that leverages deep convolutional neural networks (DCNNs) to enhance supermarket operations, addressing both labor costs and customer convenience. By designing the hardware and software architecture for a robot capable of navigating and assisting in retail environments, she bridges the gap between advanced computer vision and everyday service tasks. Though her citation count is still growing, Cui’s work stands out for its direct application of AI to solve tangible problems in commerce and logistics. Her research not only contributes to the fields of robotics and human-robot interaction but also offers a scalable blueprint for future autonomous service systems. As a rising voice in applied deep learning, Yueli Cui is shaping how intelligent machines can seamlessly integrate into our daily lives.
Research Focus
Key Achievements
Top Papers
- 1