Titanilla Komenda
Fraunhofer Austria, TU Wien, University of Applied Sciences Technikum Wien
Papers
13
Total Citations
178
H-Index
7
About
Titanilla Komenda is a leading researcher in human-robot collaboration (HRC) for industrial assembly, with a particular focus on making collaborative robots—or cobots—accessible, efficient, and safe for real-world production environments. Her work bridges the gap between advanced automation and human-centered design, exploring how cobots can be taught intuitively by non-experts, how tasks can be flexibly allocated between humans and machines, and how safety systems can be extended to enhance, rather than restrict, workplace agility. Her most-cited paper (51 citations) examines user-driven implications for teaching cobots in learning factories, while her foundational 2018 paper (36 citations) established a morphology for HRC systems in assembly. Komenda has also made significant contributions to the economic and operational planning of HRC, including a MILP model to optimize worker numbers in collaborative lines (15 citations) and critical reviews of cycle time estimation methods (7 citations). Her work on safety-rated modification limits and digitalization strategies in cyber-physical production systems further underscores her impact on Industry 4.0. With over 160 citations across her top publications, Komenda is shaping how industry and academia design, teach, and deploy human-robot teams for flexible, safe, and productive manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2A Morphology of Human Robot Collaboration Systems for Industrial Assembly36 citations · 2018
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- 9Wirtschaftliche Mensch-Roboter-Arbeitssystemgestaltung4 citations · 2021
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