Simon Schmidbauer
Papers
2
Total Citations
26
H-Index
2
About
Simon Schmidbauer is a leading researcher in industrial robotics and automation, with a specific focus on solving the complex challenges of control cabinet wiring—a task traditionally dominated by manual labor. His work centers on the integration of 3D vision systems and lightweight robots to automate highly dexterous, small-batch manufacturing processes. Schmidbauer’s major contributions include developing a method for real-time pose error correction of a robot end-effector using a 3D visual sensor, which significantly improves the precision required for inserting wires into tight terminals. He further advanced this field by creating a vision-based system that dynamically adjusts a digital ECAD model to real-world conditions, enabling robust automation even in batch-size-1 production environments. His most cited paper (14 citations) and subsequent work (12 citations) have established a foundational framework for flexible, sensor-guided assembly in SMEs. By bridging the gap between digital design and physical execution, Schmidbauer’s research is pivotal for bringing cost-effective, adaptable automation to industries where manual dexterity has long been a bottleneck.
Research Focus
Key Achievements
Top Papers
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- 2