Shukai Shen

Papers

Total Citations

H-Index

About

Shukai Shen is a researcher in robotics and computer vision, with a focus on human-robot interaction and autonomous systems. Their most cited work, "Business Card Recognition and E-mail Delivery Based on NAO Robot" (2018, 4 citations), demonstrates a novel application of the NAO humanoid robot for real-world task automation. In this study, Shen developed a method using the robot’s built-in API positioning system and camera to locate and capture business card images, then applied computer vision techniques for character recognition and automated email delivery. This work highlights Shen’s contribution to bridging robotics with practical, everyday tasks, showcasing how autonomous agents can streamline administrative processes. While their citation count is modest, the research reflects an innovative approach to integrating vision-based systems with robotic platforms, offering a foundation for further exploration in service robotics. Shen’s work is particularly notable for its emphasis on accessibility and efficiency, making it a valuable reference for students and researchers interested in applied robotics, computer vision, and human-centered automation.