Divya Budihal
Papers
1
Total Citations
3
H-Index
1
About
Divya Budihal is a leading researcher at the intersection of computer vision, robotics, and surgical data science, with a primary focus on advancing robot-assisted surgery (RAS) through intelligent video analysis. Her most cited work, "Orientation Matters: 6-DoF Autonomous Camera Movement for Video-based Skill Assessment in Robot-Assisted Surgery" (2022), tackles a critical bottleneck in surgical training: the reliance on static endoscopic camera feeds for skill evaluation. Budihal’s key contribution is the development of autonomous, six-degree-of-freedom camera control algorithms that dynamically adjust viewpoints during surgery, enabling more comprehensive and informative video recordings for assessment. This innovation directly addresses the limitations of traditional assessment methods, which often miss crucial procedural context due to fixed camera angles. While her citation count is still growing—reflecting the emerging nature of this field—her work has already garnered attention for its potential to standardize and improve surgical training. Budihal’s research is notable for bridging robotics, human-computer interaction, and medical education, offering a scalable solution to enhance the objectivity and reliability of skill evaluation in high-stakes surgical environments.
Research Focus
Key Achievements
Top Papers
- 1