Daniel Kofer
Papers
1
Total Citations
11
H-Index
1
About
Daniel Kofer is a leading researcher in the field of human–robot collaboration (HRC), focusing on the practical integration of sensitive robotic systems into industrial production environments. His work bridges the gap between cutting-edge robotics research and real-world manufacturing applications, addressing critical challenges in process realization and safety compliance. Kofer's most cited paper, "Human–robot-collaboration: Innovative processes, from research to series standard" (2021, 11 citations), provides a comprehensive framework for transitioning HRC technologies from experimental labs to standardized production lines. This work is particularly notable for its emphasis on the variable combination of human and robotic skills as a future-oriented work model, while systematically addressing the safety requirements that have historically hindered widespread adoption. Kofer's research is instrumental in demonstrating how sensitive robots can work alongside humans without compromising safety or efficiency, making him a key figure in advancing Industry 4.0 paradigms. His contributions are especially valuable for manufacturing engineers and researchers seeking practical, scalable solutions for collaborative automation.
Research Focus
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Top Papers
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