Yanbiao Chen
Papers
1
Total Citations
3
H-Index
1
About
Yanbiao Chen’s research centers on the intersection of robotics, computer vision, and human-robot interaction, with a particular focus on facial profile acquisition and autonomous trajectory planning. In his most cited work, Chen pioneered a method for capturing facial contour surfaces using a Kinect 2 sensor, then enhanced model accuracy through a novel deformation technique based on 68 facial feature points. This approach enables robots to precisely plan movement paths across human faces, advancing applications in assistive robotics and medical procedures. While his citation count is modest, Chen’s contributions are notable for their practical integration of low-cost sensors with sophisticated deformation algorithms, offering a scalable solution for personalized robotic interactions. His work demonstrates a clear commitment to bridging the gap between affordable hardware and high-precision robotic control, laying groundwork for future innovations in non-invasive facial scanning and automated care systems.
Research Focus
Key Achievements
Top Papers
- 1