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About

Alexey Karpov is a leading researcher in multimodal human-robot interaction, specializing in assistive robotics and affective computing. His work centers on creating natural, intuitive interfaces that combine speech, gesture, and sign language recognition, with a particular focus on Russian language and sign language processing. Karpov's most impactful contribution is the development of the Assistive Mobile Information Robot (AMIR), a prototype robotic shopping cart that integrates voice and gesture-based control, enabling seamless human-robot collaboration in real-world environments. His research on deep learning-based engagement recognition in highly imbalanced datasets has garnered significant attention, while his studies on lip-reading using pixel-based and geometry-based features advance multimodal interfaces. With over 100 citations across his top papers, Karpov's work demonstrates substantial influence in the field. Notably, he has explored human-robot interaction for lunar surface exploration, simulating cosmonaut-robot systems using machine vision and computer graphics. His comprehensive analytical review of affective computing systems highlights his expertise in understanding human emotional states during interactions with robots. Karpov's innovative approaches to gesture control for collaborative robots and his development of software-hardware complexes for automatic audio-visual speech recognition position him as a pioneer in creating accessible, multimodal interfaces that bridge the gap between humans and intelligent machines.