Yen-Line Chen
Papers
1
Total Citations
3
H-Index
1
About
Yen-Line Chen is a researcher at the intersection of robotics, human-computer interaction, and assistive technologies, with a focus on enhancing everyday experiences through intelligent systems. Her most cited work, "Shopping assistance and information providing integrated in a robotic shopping cart" (2017), introduces a novel robotic shopping cart designed for shopping malls that combines physical assistance with personalized information delivery. By integrating user login with directional guidance and product recommendations, Chen’s system transforms a mundane task into an interactive, supportive experience. This contribution addresses key challenges in service robotics—namely, seamless human-robot collaboration and context-aware information provision. While her citation count is modest, the work’s practical application in retail environments highlights its potential for real-world impact, bridging gaps between robotics, user experience, and commercial innovation. Chen’s research exemplifies how robotics can be humanized to serve daily needs, making her a notable figure in the development of assistive robotic systems for public spaces.
Research Focus
Key Achievements
Top Papers
- 1