Yuchen He

Papers

Total Citations

H-Index

About

Yuchen He is a robotics researcher whose work focuses on the precise control and dynamic modeling of medical capsule robots, particularly for applications in gastrointestinal endoscopy. His most-cited paper, "Learning Friction Model for Tethered Capsule Robot" (2021), addresses a critical challenge in this field: accurately modeling the friction forces that dominate motion at the millimeter scale. By developing a learning-based approach to capture these complex interactions, He’s research enables more reliable and responsive control of tethered capsule robots, directly improving their potential for non-invasive diagnostic procedures. Although his citation count is still growing—with 2 citations for this key work—his contributions are foundational for advancing autonomous navigation and tissue interaction in confined, slippery environments like the digestive tract. He is actively shaping the future of robotic endoscopy, where precise friction modeling is essential for safe and effective clinical deployment.