Christian Schlegel
Papers
3
Total Citations
31
H-Index
3
About
Christian Schlegel is a robotics researcher whose work spans autonomous systems, service robotics, and component-based software engineering for intelligent robots. His research addresses some of the most fundamental challenges in the field, including simultaneous localization and mapping (SLAM), runtime adaptability, and system interoperability in complex robotic environments. Schlegel's most recognized contribution explores 6 degrees-of-freedom SLAM using time-of-flight cameras, tackling the computationally demanding problem of managing a continuously growing landmark set in dynamic environments — work that has garnered 20 citations and remains relevant to mobile robot navigation. His research extends beyond perception into software architecture, examining how service robots can handle unpredictable real-world variability through domain-specific languages for non-functional properties, reflecting a broader concern for robust, adaptive robotic systems. More recently, Schlegel has engaged with Industry 4.0 paradigms, investigating how Asset Administration Shells can enable interoperable, skill-based service robots — bridging robotics with emerging industrial digital infrastructure standards. Across his career, Schlegel demonstrates a consistent commitment to making service robots more capable, maintainable, and deployable in open-ended environments, contributing both theoretical frameworks and practical engineering solutions to the robotics community.
Research Focus
Key Achievements
Top Papers
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