Martin Sudhoff
Papers
2
Total Citations
27
H-Index
2
About
Martin Sudhoff’s research lies at the intersection of human-robot collaboration and intelligent assembly systems, with a focus on making industrial production more adaptable to growing variant diversity. His most cited work, “Task-based Potential Analysis for Human-Robot Collaboration within Assembly Systems” (2018, 19 citations), provides a systematic framework for evaluating where and how humans and robots can work together most effectively on the factory floor—a critical contribution as manufacturers seek to balance automation with flexibility. In his 2019 paper, “Didactic Concept for Increasing Acceptance of Consistent Data Standards Using the Example of Assistance Systems in Assembly” (8 citations), Sudhoff tackles a less technical but equally vital challenge: the human factor. He demonstrates how to train workers to embrace data standards and digital tools like lightweight robots and augmented reality glasses, arguing that acceptance is as important as the technology itself. His work bridges engineering and pedagogy, offering practical solutions for the automatic configuration of assistance systems in high-variety assembly environments. With a growing citation footprint, Sudhoff is shaping how next-generation factories integrate both cutting-edge automation and the skilled humans who operate it.
Research Focus
Key Achievements
Top Papers
- 1
- 2