Barbara Odenthal
Papers
9
Total Citations
91
H-Index
6
About
Barbara Odenthal is a researcher whose work sits at the intersection of cognitive engineering, human-robot cooperation, and augmented reality systems in industrial assembly environments. Her research has made meaningful contributions to the design and automation of intelligent assembly cells, particularly through her development of cognitive control architectures that simulate human information processing to guide robotic systems through complex tasks. One of Odenthal's most recognized contributions is her comparative investigation of head-mounted and table-mounted augmented vision systems for assembly error detection, which has garnered 20 citations and speaks to her sustained interest in practical, human-centered interface design. Her empirical work on augmented vision systems for both assembly and disassembly tasks further demonstrates her commitment to validating these technologies in real-world contexts. With her foundational papers on cognitive automation—including "Automation of Robotic Assembly Processes on the Basis of an Architecture of Human Cognition" (21 citations) and "Cognitive Engineering of Automated Assembly Processes"—she helped establish a framework for embedding cognitive principles directly into numerical control systems. Conducted largely within the Cluster of Excellence "Integrative Production Technology for High-Wage Countries," her research addresses how smart, self-optimizing assembly cells can be made safer and more ergonomic, offering valuable insights for researchers and engineers working at the frontier of Industry 4.0.
Research Focus
Key Achievements
Top Papers
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- 3Cognitive Engineering of Automated Assembly Processes12 citations · 2011
- 4An Empirical Study of Disassembling Using an Augmented Vision System11 citations · 2011
- 53D Assembly Group Analysis for Cognitive Automation7 citations · 2012
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