Vera Hummel
Papers
10
Total Citations
491
H-Index
8
About
Vera Hummel is a prominent researcher at Reutlingen University whose work sits at the intersection of Industry 4.0, human-robot collaboration, and smart manufacturing systems. Best known for her pioneering contributions through the ESB Logistics Learning Factory, Hummel has shaped how academia and industry think about the digital transformation of production environments. Her most influential work, "Digital Twin as Enabler for an Innovative Digital Shopfloor Management System" (2017, 204 citations), established her as a leading voice in digital twin technology, demonstrating how virtual replicas of physical systems can drive responsive, individualized manufacturing. Equally impactful is her research on capability-based task allocation in human-robot collaboration (2017, 143 citations), which provided a rigorous framework for integrating robots into shared workspaces in ways that genuinely enhance productivity rather than simply novelty. Across her body of work, Hummel consistently bridges theoretical innovation with practical application — from morphological analyses of human-robot systems to self-organizing intralogistics and ergonomics-aware resource planning. Her ongoing research into dynamic task allocation signals continued relevance in increasingly automated factories. With over 400 cumulative citations, Hummel's contributions have meaningfully advanced the global conversation on intelligent, human-centered manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Capability-based Task Allocation in Human-robot Collaboration143 citations · 2017
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- 4A Morphology of Human Robot Collaboration Systems for Industrial Assembly36 citations · 2018
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- 8A study on challenges in the implementation of human-robot collaboration10 citations · 2018
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