Snezhana Georgieva Pleshkova

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About

Snezhana Georgieva Pleshkova is a researcher whose work sits at the intersection of human-robot interaction, artificial intelligence, and embedded systems. Her research focuses on developing intuitive communication interfaces that allow humans to interact naturally and effectively with mobile robots, exploring both gesture-based and voice-based control paradigms. Among her notable contributions is her 2019 investigation into deep learning-driven hand gesture recognition as a means of controlling mobile robots, a study that has garnered 6 citations and addresses the growing demand for accessible human-robot communication in both professional and domestic environments. Complementing this work, her LabVIEW-based voice command framework for mobile robot motion control, also published in 2019 and cited 5 times, demonstrates her commitment to practical, implementable solutions by leveraging Internet of Things technologies to bridge natural language processing with robotic navigation. Pleshkova's research reflects a broader vision of making robotics more approachable and user-friendly, particularly as mobile robots become increasingly embedded in everyday life. Her dual focus on visual and auditory interaction modalities positions her as a thoughtful contributor to the evolving field of human-robot interaction, offering students and fellow researchers valuable methodological foundations for designing next-generation robotic interfaces.