Vladimir Rybalkin
Papers
1
Total Citations
8
H-Index
1
About
Vladimir Rybalkin is a researcher at the intersection of embedded systems, computer vision, and assistive robotics. His work focuses on enabling intelligent, real-time perception for robotic platforms, particularly through the development of efficient face recognition algorithms that can operate on resource-constrained hardware. His most-cited paper, "Embedded Face Recognition for Personalized Services in the Assistive Robotics" (2021), with 8 citations, demonstrates a practical approach to deploying deep learning models on embedded devices, allowing robots to identify and interact with individuals in assistive environments. This contribution is significant for advancing human-robot interaction, making personalized assistance more accessible and responsive. Rybalkin’s research addresses critical challenges in balancing computational efficiency with accuracy, paving the way for smarter, more autonomous assistive systems. His work is a valuable resource for students and engineers exploring edge AI and its applications in robotics, showcasing how embedded vision can transform caregiving and service robots into truly adaptive companions.
Research Focus
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Top Papers
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