Yiyao Ma
Papers
1
Total Citations
3
H-Index
1
About
Yiyao Ma is a rising researcher at the intersection of robotics, computer vision, and medical imaging, with a primary focus on enhancing the autonomy and precision of flexible robotic instruments. Her most notable contribution, the 2024 paper "Shape-Guided Configuration-Aware Learning for Endoscopic-Image-Based Pose Estimation of Flexible Robotic Instruments," introduces a novel learning framework that leverages shape priors and configuration awareness to accurately estimate the 3D pose of flexible tools from endoscopic images. This work directly addresses a critical challenge in minimally invasive surgery—enabling real-time, vision-based feedback for robot control without relying on external tracking systems. Though early in her career, with this paper already garnering 3 citations, Ma’s approach demonstrates significant potential for improving surgical outcomes by making robotic instruments more responsive and intuitive. Her research promises to bridge the gap between computer vision and robotic manipulation in constrained, dynamic environments, marking her as a promising talent in medical robotics.
Research Focus
Key Achievements
Top Papers
- 1