Stefan Dumberger

University of Applied Sciences Upper Austria

Papers

Total Citations

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About

Stefan Dumberger is a researcher focused on the intersection of computer vision, industrial automation, and disaster robotics. His work addresses critical challenges in environments where human intervention is costly, dangerous, or impractical. Dumberger’s most cited paper, "Autonomous Real-Time Gauge Reading in an Industrial Environment" (2020, 15 citations), introduces a vision-based system for automatically reading analog gauges—a common yet labor-intensive task in factories and plants. This contribution directly tackles the limitations of wired or wireless sensor retrofitting, offering a practical, cost-effective solution for legacy industrial infrastructure. Building on this expertise, Dumberger’s more recent work, "Solving Disaster-response Tasks at a Nuclear Power Plant under Realistic Conditions" (2022, 4 citations), extends autonomous perception to high-stakes scenarios. This research addresses the urgent need for robots that can reliably assess damage and perform tasks in hazardous environments, such as post-disaster nuclear facilities, drawing lessons from events like Fukushima. By combining real-time visual analysis with robust robotic control, Dumberger is advancing the frontier of autonomous systems for both everyday industrial efficiency and critical emergency response.