M Yu Teplyakova

Papers

Total Citations

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About

M. Yu Teplyakova is a researcher in robotics and control systems, with a focus on integrating fuzzy logic and voice command interfaces for autonomous transport robots. Her most cited work, "Transport Robot Control by Voice Commands" (2017), proposes a novel approach to robot navigation by using fuzzy logic to interpret imprecise, natural-language voice commands—enabling more intuitive and adaptive human-robot interaction. This contribution addresses a key challenge in robotics: making control systems flexible enough to handle real-world variability. While her citation count is modest (2 citations), her work is notable for its early exploration of voice-controlled fuzzy systems in mobile robotics, a topic that has since gained traction in assistive and industrial automation. Teplyakova’s research sits at the intersection of control theory, artificial intelligence, and human-robot collaboration, offering a foundation for future work on accessible, voice-driven robotic platforms. Her approach highlights the potential of fuzzy logic to bridge the gap between human intent and machine execution, making her a contributor to the development of more responsive and user-friendly autonomous systems.