Justin Dannemiller

Papers

Total Citations

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About

Justin Dannemiller is a researcher at the intersection of robotics, disaster prevention, and STEM education. His work centers on developing autonomous systems for critical infrastructure inspection, with a focus on enhancing safety and reliability in high-risk environments such as power plants and industrial facilities. Dannemiller’s most cited paper, “Smart Robot Vision System for Plant Inspection for Disaster Prevention” (2022, 4 citations), introduces a simulation-driven approach that leverages autonomous robots to perform routine and emergency inspections, significantly improving response times and reducing human risk. He also made notable contributions to educational robotics with “Low-Cost Entry-Level Educational Drone with Associated K-12 Education Strategy” (2023, 3 citations), which democratizes access to drone technology for young learners. This work not only advances practical robotics but also fosters the next generation of engineers. Dannemiller’s research demonstrates a clear commitment to bridging cutting-edge automation with real-world safety challenges and accessible education, making his contributions both technically impactful and socially relevant.