Stefan Krusemark

Papers

1

Total Citations

7

H-Index

1

About

Stefan Krusemark is a researcher focused on advancing the precision and reliability of industrial robotics, with key contributions in robot calibration, visual servoing, and fine interpolation algorithms. His most-cited work, "Universal fine interpolation algorithms for accuracy improvements of industrial robots" (2016, 7 citations), addresses a critical challenge in manufacturing: the inherent inaccuracies of jointed arm robots. By developing an online closed-loop control system for the tool center point trajectory, Krusemark demonstrated how visual servoing can enable robots to achieve high-accuracy path execution independent of the robot’s internal controller. This work is notable for its practical, universal approach—offering a robot-independent external correction method that improves absolute positioning without requiring hardware modifications. While his citation count reflects a specialized niche, the impact is significant within precision automation and adaptive manufacturing, where even micrometer-level gains in accuracy translate to reduced waste and enhanced product quality. Krusemark’s research bridges the gap between theoretical control methods and real-world industrial deployment, making him a valuable contributor to the ongoing evolution of smart, flexible robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Universal fine interpolation algorithms for accuracy improvements of industrial robots
7 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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