Kyle R. Golobish
Papers
1
Total Citations
3
H-Index
1
About
Kyle R. Golobish is a researcher advancing the frontiers of surgical robotics, with a primary focus on vision-based force estimation for minimally invasive telesurgery. His most-cited work, "Vision-Based Force Estimation for Minimally Invasive Telesurgery Through Contact Detection and Local Stiffness Models" (2024), addresses a critical bottleneck in robotic surgery: the difficulty of obtaining accurate force information from in-vivo end effectors. By developing a novel method that leverages visual data to detect contact and estimate forces using local stiffness models, Golobish’s research paves the way for enhanced haptic feedback and force-based automated performance metrics—key components for improving surgical precision and safety. Though early in his career, his contributions have already garnered attention, with this paper accumulating 3 citations in a short time, signaling growing impact in the field. His work holds promise for transforming telesurgery by enabling surgeons to “feel” tissue interactions remotely, reducing the risk of tissue damage and improving outcomes. Golobish’s innovative approach stands at the intersection of computer vision, robotics, and biomedical engineering, marking him as a rising talent in surgical technology.
Research Focus
Key Achievements
Top Papers
- 1