Max Robotics — Global Service Robot Directory + US Certification

About

Lyudmila Mihaylova is a leading figure in intelligent robotics and autonomous systems, whose work bridges the gap between theoretical estimation and real-world deployment. Her research spans human–robot collaborative manufacturing, autonomous inspection, and neuroprosthetic interfaces, with a unifying focus on enhancing safety, reliability, and decision-making under uncertainty. Her most impactful work, a deep learning-enhanced Digital Twin framework for Industry 5.0 (144 citations), redefines smart manufacturing by integrating AI to ensure safer human–robot collaboration. She has also made seminal contributions to autonomous inspection, authoring a highly cited review on SLAM for robots in water and sewer pipe networks (85 citations), which charts a path toward intelligent, self-monitoring urban infrastructure. Beyond manufacturing, Mihaylova has advanced sign language recognition using deep neural networks (43 citations) and developed guaranteed computation methods for robot trajectories and reliable localization. Her earlier work on active robotic sensing and autonomous assembly laid foundational principles for decision-making in uncertain environments. With over 450 citations across her top papers, Mihaylova’s research is distinguished by its practical impact and interdisciplinary reach, from industrial robotics to neuropsychiatric biomarker classification. Her career exemplifies how rigorous state estimation and AI can transform both physical and biomedical systems.