Thomas Schromm
Papers
1
Total Citations
20
H-Index
1
About
Thomas Schromm is a robotics researcher whose work centers on advancing non-destructive evaluation through robot-guided computed tomography (CT). His primary contributions lie in trajectory optimization for industrial inspection, addressing the critical challenge of scanning large or assembled components—such as mechanical joining parts within cars—that exceed the capacity of conventional CT systems. His most-cited paper, "Practical Part-Specific Trajectory Optimization for Robot-Guided Inspection via Computed Tomography" (2022, 20 citations), introduces a practical method to generate efficient, part-specific scanning paths, overcoming typical limitations in flexibility and image quality. This work has direct implications for automotive and manufacturing quality control, enabling volumetric inspection of complex assemblies without disassembly. Schromm’s research bridges robotics, computer vision, and industrial metrology, offering tangible solutions for real-world inspection tasks. While early in his career, his focused contributions to robot-guided CT have already garnered attention, positioning him as a promising voice in automated non-destructive testing. His achievements highlight a commitment to making advanced inspection more accessible and practical for industry.
Research Focus
Key Achievements
Top Papers
- 1