Papers

3

Total Citations

16

H-Index

3

About

Svea Schuh’s research bridges artificial intelligence and service robotics to tackle pressing societal challenges, particularly in healthcare and office automation. Her most cited work, “Invoice Automation: Increasing Efficiency in the Office at Satherm GmbH Using Artificial Intelligence” (2021, 6 citations), demonstrates how AI can streamline administrative tasks, reducing manual workload and error rates. Schuh’s primary impact, however, lies in care robotics. As lead author of “HoLLiECares - Development of a multi-functional robot for professional care” (2024, 6 citations), she addresses Germany’s acute nursing shortage by designing robots capable of assisting with patient mobility, monitoring, and routine clinical tasks—freeing human staff for higher-level care. Her earlier German-language study, “KI-basierte Mensch-Roboter-Interaktion…” (2020, 4 citations), laid groundwork for intuitive human-robot interaction in clinical settings. By integrating AI with multifunctional service robots, Schuh’s work directly confronts the demographic crisis in healthcare, offering scalable, practical solutions. Her research is notable for its applied focus: from office efficiency to bedside assistance, she consistently develops technologies that augment human capabilities where they are most needed. With growing citation counts and a clear trajectory toward real-world deployment, Schuh is emerging as a key voice in human-centered robotics and AI-driven process optimization.

Research Focus

Key Achievements

3
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Invoice Automation: Increasing Efficiency in the Office at Satherm GmbH Using Artificial Intelligence
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: AWS-Institute for Digitized Products and Processes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago