About

Doris Aschenbrenner is a prominent researcher specializing in human-robot interaction, augmented reality (AR) applications in industrial settings, teleoperation, and sustainable robotics. Her work sits at the intersection of advanced manufacturing technology and human factors engineering, addressing practical challenges facing modern industry. Aschenbrenner's most significant contributions include pioneering comparative studies on AR-supported repair operations, where her landmark 2019 paper—drawing on feedback from 160 participants—provided actionable industry guidance on implementing AR in production environments (39 citations). Her parallel investigations into collaborative versus single-user AR support systems have shaped how companies approach remote maintenance and digitized service workflows. Earlier foundational work on teleoperation architectures for active production lines (34 citations) and networked control systems established her credentials in industrial tele-robotics. More recently, Aschenbrenner has expanded her research into sustainable robotics, exploring how artificial intelligence and robotic systems can revolutionize plastic recycling processes, with two 2023 papers accumulating 46 combined citations remarkably quickly. Her MirrorLabs framework for accessible digital twins further demonstrates her commitment to open, practical solutions for industry. With over 200 cumulative citations across a diverse yet cohesive body of work, Aschenbrenner represents a vital voice bridging human-centered design, industrial automation, and environmental sustainability.

Research Focus

Key Achievements

9
H-Index
21
Papers
264
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Comparing Human Factors for Augmented Reality Supported Single-User and Collaborative Repair Operations of Industrial Robots
39 citations · 2019
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 55
🏛 Institutions: Delft University of Technology, Hochschule Aalen, Zentrum für Pathologie und Zytodiagnostik, Zentrum für Telematik, University of Würzburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago