Nikola Gjeldum
Papers
5
Total Citations
85
H-Index
4
About
Nikola Gjeldum is a leading researcher in the field of advanced manufacturing, with a primary focus on human-robot collaboration (HRC) and the integration of collaborative robots (cobots) into assembly systems. His work is central to the Industry 4.0 strategy, addressing the critical need for low-automation assembly lines to co-work safely and efficiently with humans. Gjeldum’s major contributions include developing decision support systems for cobot task allocation, as evidenced by his most-cited paper (45 citations), and pioneering the integration of HRC within learning factory environments, such as the assembly of a children's vehicle. He has also made significant strides in bridging the gap between academic curricula and industrial practice, notably through the creation of a Lean Learning Factory at the University of Split. His recent work extends into artificial intelligence and digital twins for predictive assembly line performance. With a growing citation impact and a focus on practical, educational implementations, Gjeldum’s research is shaping the future of flexible, human-centric manufacturing.
Research Focus
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Top Papers
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