Papers
1
Total Citations
7
H-Index
1
About
Sabine Webel is a researcher whose work sits at the intersection of robotics, surgical simulation, and human–machine interaction. Her primary research focus is the development of advanced training platforms for minimally invasive robotic surgery, with a particular emphasis on multimodal feedback systems that integrate visual, haptic, and auditory cues to enhance surgical skill acquisition. Her most cited work, "A multimodal training platform for minimally invasive robotic surgery" (2010), provides a comprehensive overview of a training platform built around the DLR MiroSurge system, detailing the integration of hardware and software components and presenting the first generation of training tasks. This contribution is foundational in the field of robotic surgery training, offering a framework for how complex surgical robots can be used not only for operation but also for effective, repeatable skill development. With 7 citations, this paper has informed subsequent research in surgical robotics and simulation, and Webel’s work remains a key reference for engineers and clinicians developing next-generation training systems.
Research Focus
Key Achievements
Top Papers
- 1A multimodal training platform for minimally invasive robotic surgery7 citations · 2010