Yashbir Singh

Mayo Clinic

Papers

1

Total Citations

3

H-Index

1

About

Yashbir Singh is a researcher at the intersection of mathematics, robotics, and surgery, with a primary focus on advancing robotic-assisted surgical systems. His key research areas include homotopy continuation methods, path planning, and image reconstruction for minimally invasive procedures. Singh’s most notable contribution is his pioneering work on applying homotopy continuation—a mathematical technique for solving complex path-tracing and constraint problems—to enhance the precision and safety of robotic surgery. His 2023 paper, "The Critical Role of Homotopy Continuation in Robotic-Assisted Surgery - Future Perspective," has garnered 3 citations and serves as a foundational introduction to this novel approach. By addressing critical challenges in surgical path planning and restriction problems, Singh’s work promises to improve intraoperative navigation and reduce procedural risks. His research bridges theoretical mathematics and clinical application, offering a forward-looking perspective that could transform how robotic systems handle dynamic anatomical constraints. As a rising voice in surgical robotics, Singh continues to explore how advanced computational methods can unlock new capabilities in autonomous and semi-autonomous surgical assistance.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
The Critical Role of Homotopy Continuation in Robotic-Assisted Surgery - Future Perspective
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Mayo Clinic

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago