Papers

4

Total Citations

53

H-Index

3

About

Rebekka Wohlrab is a leading researcher in the engineering of trustworthy, autonomous, and collaborative robotic systems. Her work sits at the intersection of software architecture, self-adaptive systems, and human-robot interaction (HRI). She is best known for proposing a novel architecture for decentralized, collaborative, and autonomous robots (2018, 37 citations), which addresses the critical challenge of moving beyond ad hoc, domain-specific solutions toward systematic, reusable engineering frameworks for complex multi-robot scenarios. Wohlrab has also made significant contributions to the runtime assurance of Cyber-Physical Systems (CPS). She developed AMon, a domain-specific language and framework for adaptive monitoring (2022, 11 citations), enabling safety-critical CPS to dynamically adjust their monitoring behavior based on cost-benefit trade-offs. Her recent work explores the crucial dimension of trust in HRI, specifically investigating how automation and explainability can resolve conflicts between humans and robots (2025, 2 citations). By combining rigorous architectural design with a deep understanding of human factors, Wohlrab’s research is paving the way for safer, more reliable, and more acceptable autonomous systems that can collaborate effectively with people in real-world settings.

Research Focus

Key Achievements

3
H-Index
4
Papers
53
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
An Architecture for Decentralized, Collaborative, and Autonomous Robots
37 citations · 2018
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Systemite (Sweden), Chalmers University of Technology, University of Gothenburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago