Papers
78
Total Citations
1,531
H-Index
19
About
Gerald Steinbauer is an Austrian computer scientist whose research spans autonomous robotics, fault diagnosis, and technology education — fields in which he has made lasting and widely recognized contributions. His most cited work, "Artificial Intelligence and Computer Science in Education" (2016, 368 citations), reflects his deep commitment to democratizing AI literacy from kindergarten through university, a mission further advanced through his studies on robotics in education and teacher certification frameworks. Steinbauer has been a leading voice in Europe's educational robotics movement, with foundational surveys and policy-oriented work helping shape how robotics is integrated into school curricula across the continent. On the technical side, Steinbauer has made significant contributions to autonomous robot reliability, developing novel model-based diagnosis and repair architectures that enable robots to detect and correct faults in their own control software at runtime — research reflected in multiple well-cited publications from 2005 to 2013. His work on ROS-based navigation and a comprehensive survey of robot faults in RoboCup competitions further demonstrate his grounding in real-world robotic systems. With a body of work accumulating nearly 1,000 citations across both applied robotics and education research, Steinbauer represents a rare bridge between cutting-edge autonomous systems and accessible, impactful STEM education.
Research Focus
Key Achievements
Top Papers
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- 4A Survey about Faults of Robots Used in RoboCup68 citations · 2013
- 5Movement prediction from real-world images using a liquid state machine49 citations · 2006
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- 9Real-Time Diagnosis and Repair of Faults of Robot Control Software41 citations · 2006
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