Papers
13
Total Citations
244
H-Index
6
About
Denis Pomorski is a leading researcher in the safety and control of complex multi-robot systems, with a particular focus on autonomous mobile robots operating in hazardous and dynamic environments. His work addresses the critical challenge of ensuring system reliability and fault tolerance when multiple robots collaborate in high-risk settings, such as chemical analysis laboratories and industrial plants. Pomorski has made major contributions to risk analysis methodologies, pioneering the application of STPA (System-Theoretic Process Analysis) combined with tools like Bowtie diagrams and Fault Tree Analysis to model and quantify collision hazards and control architecture vulnerabilities. His research on multi-sensor fusion, notably using the Kullback–Leibler Divergence for fault detection and exclusion, has been highly influential, with his 2017 paper on this topic accumulating over 120 citations. Pomorski has also advanced adaptive entropy-based change detection for fault-tolerant fusion and explored distributed versus hybrid control architectures using AHP. His work on millimeter-wave nondestructive testing implemented on collaborative mobile robots demonstrates a practical application of his safety frameworks. With a strong track record in system safety engineering, Pomorski’s research is essential for enabling reliable human-robot collaboration in risky environments.
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