Anna Trauth
Papers
4
Total Citations
13
H-Index
3
About
Anna Trauth is a leading researcher at the intersection of industrial robotics and non-destructive testing, specializing in robot-based X-ray computed tomography (CT) and automated component inspection. Her work addresses a critical bottleneck in modern manufacturing: the need for flexible, high-resolution CT inspection of large or uniquely shaped components that cannot be accommodated by conventional, mechanically constrained systems. Trauth’s major contributions include pioneering efficient calibration methods for arbitrary robotic trajectories, ensuring imaging accuracy even when robots deviate from ideal paths under load. She has also developed sensor-guided motion strategies—integrating 3D camera systems and force/torque sensors—to compensate for these deviations in real time, enabling reliable, high-precision scans in space-restricted environments. Her research on varying focus-detector distances expands the feasibility of robot-based CT for complex geometries, a key enabler for Industry 4.0’s shift toward batch-size-one production. With her most-cited works accumulating over a dozen citations since 2022, Trauth’s innovations are directly shaping the future of flexible, software-defined testing facilities, making high-quality non-destructive evaluation accessible for components that were previously impossible to inspect.
Research Focus
Key Achievements
Top Papers
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- 3Sensor-guided motions for robot-based component testing3 citations · 2022
- 4