Papers
34
Total Citations
429
H-Index
12
About
Franz Wotawa is a prominent researcher whose work sits at the intersection of artificial intelligence, autonomous systems, and software testing. Best known for his pioneering contributions to model-based diagnosis and fault localization, Wotawa has spent decades developing frameworks that enable autonomous robots to detect, diagnose, and repair their own software and hardware failures in real time. His early landmark work on diagnosing control software in mobile robots (2005, 47 citations) laid foundational principles for self-adaptive autonomous systems, a theme he continued to refine across multiple influential publications examining fault diagnosis of robot drives and model-based reasoning for robustness. Beyond robotics diagnostics, Wotawa has made significant contributions to swarm intelligence, exploring how heterogeneous collectives and bio-inspired behaviors — including emergent gradient taxis inspired by slime molds and fireflies — can produce complex adaptive responses. More recently, his research has expanded into rigorous software testing methodologies for safety-critical systems, including combinatorial testing approaches applied to autonomous driving (2023, 27 citations) and protocol security testing. His body of work, spanning over two decades and accumulating hundreds of citations, reflects a consistent commitment to making autonomous and self-adaptive systems more reliable, intelligent, and robust in real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 3Real-Time Diagnosis and Repair of Faults of Robot Control Software41 citations · 2006
- 4Improving Robustness of Mobile Robots Using Model-based Reasoning30 citations · 2006
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- 6Model-based fault diagnosis and reconfiguration of robot drives23 citations · 2007
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- 8Model-Based Reasoning for Self-Adaptive Systems – Theory and Practice15 citations · 2013
- 9FSTaxis Algorithm: Bio-Inspired Emergent Gradient Taxis15 citations · 2016
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