Fabio Sgarbossa
Norwegian University of Science and Technology, University of Padua
Papers
14
Total Citations
1,320
H-Index
11
About
Fabio Sgarbossa is a leading researcher in intralogistics, warehouse automation, and smart manufacturing systems, with particular expertise in autonomous mobile robots (AMRs), collaborative robots (cobots), and Industry 4.0 technologies. His work sits at the intersection of operations management, robotics, and industrial engineering, addressing how emerging automation can transform material handling across manufacturing, warehousing, and healthcare settings. Sgarbossa's most influential contribution, a 2021 literature review on autonomous mobile robots in intralogistics (604 citations), has become a foundational reference for the field, systematically mapping research gaps and future directions. Complementing this, his 2020 study on AMRs and smart intralogistics in Industry 4.0 production networks (432 citations) demonstrated how flexible automation can meaningfully enhance productivity without excessive resource costs. Beyond AMRs, he has made notable contributions to cobot integration, developing analytical models for cobot-supported kitting and item sorting that address the often-overlooked economic dimensions of human-robot collaboration. His research extends to applied healthcare logistics, examining AMR deployment in hospital and sterile instrument supply chains. With hundreds of citations across multiple high-impact studies published between 2018 and 2021, Sgarbossa has established himself as a highly influential voice shaping how researchers and practitioners approach the automation of complex logistics environments.
Research Focus
Key Achievements
Top Papers
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- 3Autonomous Mobile Robots in Hospital Logistics62 citations · 2020
- 4Cost modelling of onboard cobot-supported item sorting in a picking system46 citations · 2020
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- 7Modelling time efficiency of cobot-supported kit preparation29 citations · 2019
- 8Robot picker solution in order picking systems: an ergo-zoning approach20 citations · 2020
- 9Kit Preparation with Cobot-supported Sorting in Mixed Model Assembly16 citations · 2019
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