Martin Kraus
Papers
7
Total Citations
58
H-Index
5
About
Martin Kraus is a leading researcher at the intersection of augmented reality (AR), virtual reality (VR), and robot-assisted minimally invasive surgery (RMIS), with a focus on making surgical training more effective and accessible. His work addresses critical challenges in surgical education, including the high cost and limited availability of robotic systems. Kraus pioneered the development of stereoscopic AR systems that overlay computer graphics onto live video feeds, enabling instructors to demonstrate skills with virtual tools during supervised training—a contribution that has garnered over 17 citations. He has also advanced low-cost simulation techniques, such as using game engines to model surgical cutting in deformable bodies, reducing reliance on expensive equipment and animal training. His research on depth cues in AR and latency measurement in teleoperation interfaces has improved the realism and usability of training platforms. Kraus’s work on team training in VR for RMIS, with 9 citations, underscores his commitment to collaborative surgical education. By integrating AR/VR with robotic systems, he has helped lower barriers to high-quality training, making his contributions vital for the next generation of surgeons.
Research Focus
Key Achievements
Top Papers
- 1
- 2
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- 4Low-cost simulation of robotic surgery7 citations · 2013
- 5Simulation of Surgical Cutting in Deformable Bodies using a Game Engine5 citations · 2014
- 6
- 7Real-Time Augmented Reality for Robotic-Assisted Surgery3 citations · 2015