Rasmus Larsen
Papers
4
Total Citations
92
H-Index
4
About
Rasmus Larsen is a leading figure in robotics and medical imaging, whose work bridges the gap between precision engineering and clinical intervention. His research centers on three key areas: automated robotic path planning, multimodal imaging for surgery, and computer vision. Larsen’s most impactful contribution is his foundational work on spray painting robots, where he developed a mathematical model for paint flux fields within spray cones. This model, detailed in his 1996 paper (63 citations), enabled the automatic generation of tool center trajectories for arbitrary surfaces—a breakthrough that advanced industrial robotics. In the medical domain, Larsen pioneered “smart” soft tissue markers that translate high-resolution diagnostic imaging into real-time surgical guidance, as seen in his 2020 paper (17 citations). These markers address a critical challenge: helping surgeons locate small structures identified by imaging but invisible during procedures. He also contributed to Time-of-Flight camera computer vision and shape modeling. With over 90 total citations across his most-cited works, Larsen’s research demonstrates a rare ability to solve complex, real-world problems—from factory floors to operating rooms—making him a key innovator in applied robotics and biomedical engineering.
Research Focus
Key Achievements
Top Papers
- 1Task curve planning for painting robots. I. Process modeling and calibration63 citations · 1996
- 2
- 3Special issue on Time-of-Flight camera based computer vision8 citations · 2010
- 4Comparison of sparse point distribution models4 citations · 2009