About

Matthias Strobel’s research focuses on service robotics, human-robot interaction, and autonomous navigation in complex, human-centered environments. His work addresses the practical challenges of deploying robots in everyday settings—from cluttered offices and narrow corridors to crowded public spaces. A key contribution is the development of the MAid robotic wheelchair, an intelligent passenger transportation system designed for elderly and disabled people, which demonstrated safe, semi-autonomous operation in busy public environments (11 citations). Strobel also advanced gesture recognition for domestic service robots by integrating spatial context knowledge, allowing robots to better interpret user intent behind gestural commands (14 citations). His research on navigation in partially unknown, narrow, and cluttered spaces introduced planners that account for kinematic constraints and user-defined optimality criteria (13 citations). Additionally, Strobel explored RFID-based localization on smart floors for precise robot position estimation. With over 100 total citations across his most-cited papers, his work has laid foundational groundwork for service robots that can operate safely and intuitively alongside humans in real-world, unstructured environments.

Research Focus

Key Achievements

6
H-Index
12
Papers
102
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Office waste cleanup: an application for service robots
21 citations · 2002
📈 Most Prolific Year: 2003 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Forschungsinstitut für Anwendungsorientierte Wissensverarbeitung, Graebener Maschinentechnik (Germany), Helmholtz-Institute Ulm

Top Papers

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    Polygonal Model Fitting
    4 citations · 2001

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago