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About

Karol Tucki is a leading researcher in the diagnostics and energy optimization of industrial robotic systems. His work centers on solving critical challenges in automated manufacturing, particularly through the technical diagnostics of production system drives. Tucki’s most influential paper, “Analysis of Diagnostic Methods and Energy of Production Systems Drives” (43 citations), addresses the urgent scientific problem of diagnosing drives in robotized workplaces using sensor support, establishing a dependence between diagnostic parameters and technical state—a finding of significant economic importance. He also explores the intersection of virtual technologies and manufacturing, as seen in his work on virtual reality in robotized systems (8 citations), which highlights both energy and economic benefits. Most recently, Tucki has advanced the field of condition monitoring by applying artificial intelligence tools to detect base unfastening in industrial robots using vibration signals (6 citations), a novel approach that extends beyond traditional rotating machine diagnostics. His contributions are shaping smarter, more efficient, and economically viable automated production systems.