Maximilian Linde
Papers
1
Total Citations
3
H-Index
1
About
Maximilian Linde is a pioneering researcher at the intersection of robotics and non-destructive testing, with a primary focus on advancing robot-based X-ray computed tomography (CT) for industrial applications. His work addresses critical challenges in inspecting large, complex components—such as those in the automotive industry—that exceed the capacity of conventional CT systems. Linde’s major contribution lies in developing methodologies for selecting feasible robotic trajectories by dynamically varying the focus-detector-distance, enabling high-resolution imaging even in space-restricted environments. This innovation is pivotal for expanding CT’s utility in quality control and manufacturing. Though his most-cited paper, published in 2024, has garnered 3 citations—reflecting its recency and niche technical audience—its impact is poised to grow as industries adopt robot-based CT for scalable, flexible inspection. Linde’s work bridges robotics and imaging science, offering practical solutions for real-world industrial constraints. His research is particularly notable for addressing the geometric and kinematic complexities of robotic arms in confined spaces, a challenge that has limited prior adoption. For students and researchers, Linde exemplifies how applied robotics can solve pressing industrial metrology problems, making him a key figure in the evolution of non-destructive testing.
Research Focus
Key Achievements
Top Papers
- 1