Pei-I Kuo
Papers
1
Total Citations
3
H-Index
1
About
Pei-I Kuo is a researcher at the forefront of intelligent robotics and automation, with a focus on integrating deep learning with robotic manipulation for real-world service applications. His most cited work, "Camera-in-Hand Robotic Arm Using a Deep Neural Network to Realize Unmanned Store Service" (2019), addresses the pressing need to reduce human labor costs in retail environments. Kuo’s key contribution lies in developing a vision-guided robotic arm system that leverages deep neural networks to autonomously perform ordering, preparation, and delivery tasks in unmanned stores. This work demonstrates how computer vision and neural network-based control can replace repetitive human work, offering a scalable solution for modern factories and retail spaces. With 3 citations, this foundational paper has influenced subsequent research in service robotics and human-robot interaction. Kuo’s achievements highlight the practical deployment of AI-driven robotic arms, bridging the gap between laboratory research and commercial automation. His research continues to inspire students and engineers working toward fully autonomous service systems, making him a notable figure in the evolving landscape of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1