Raphael Maas
Papers
5
Total Citations
28
H-Index
4
About
Raphael Maas is a researcher in autonomous robotics and cyber-physical systems, with a focus on fault-tolerant control and organic computing. His work centers on the Organic Robot Control Architecture (ORCA), a decentralized framework that enables robot subsystems to self-organize and avoid unhealthy operational states. Maas applied ORCA to platforms like the six-legged walking robot OSCAR, demonstrating how health signals—condensed measures of system fitness—can guide adaptive, fault-tolerant path planning in crowded or complex environments. His most-cited paper (10 citations) introduces ORCA’s application to OSCAR, while a follow-up (7 citations) extends the architecture to broader cyber-physical systems. Maas also contributed to educational robotics, co-developing an easy-to-use framework for mobile robots that emphasizes abstraction and design patterns to lower barriers for students and researchers. His work on hazard estimation via health signals (4 and 2 citations) advances graceful degradation strategies, ensuring robots maintain functionality despite hardware faults. By bridging organic computing principles with practical robot control, Maas has laid groundwork for resilient, self-aware autonomous systems—a vital step toward safer human-robot interaction in unpredictable environments.
Research Focus
Key Achievements
Top Papers
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- 3An Easy to Use Framework for Educational Robots5 citations · 2012
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