Randy Moore
Papers
1
Total Citations
4
H-Index
1
About
Randy Moore is a leading researcher at the intersection of computer vision and robotic surgery, whose work is pioneering the next generation of intelligent surgical systems. His primary research areas include articulated object pose estimation, surgical tool tracking, and augmented reality (AR) for medical training. Moore's most notable contribution is the development of **SurgPose**, a comprehensive dataset and framework for articulated robotic surgical tool pose estimation and tracking. This work addresses a critical bottleneck in surgical robotics: the need for accurate, real-time understanding of tool kinematics to enable AR-guided training and autonomous manipulation. Despite being published in 2025, SurgPose has already garnered 4 citations, signaling its rapid adoption as a foundational resource in the field. By providing high-fidelity annotations and a robust baseline method, Moore has empowered downstream applications that promise to enhance surgical precision and reduce training times. His research is instrumental in bridging the gap between computer vision algorithms and practical, life-saving clinical tools, positioning him as a rising authority in medical robotics and embodied AI.
Research Focus
Key Achievements
Top Papers
- 1