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About

Vassilis Pitsikalis is a leading researcher in assistive robotics and multimodal human-robot interaction (HRI), with a focus on developing intelligent systems that enhance the quality of life for elderly individuals and those with mobility impairments. His key research areas span multimodal signal processing, action recognition, and social HRI, where he integrates audio, visual, and sensory data to create natural, adaptive interfaces. Pitsikalis’s major contributions include pioneering frameworks for assistive robotic platforms like MOBOT, a cognitive rollator that proactively interacts with users through speech and gesture recognition. His most-cited work, "Multimodal human action recognition in assistive human-robot interaction" (118 citations), establishes a foundation for real-time, multimodal sensory processing in assistive contexts. He also developed the first comprehensive dataset and tools for multimedia gesture recognition in HRI, enabling reproducible research. Pitsikalis’s impact is evident in his work on social HRI for the elderly, where he introduced online validation of multimodal commands, and in his contributions to intelligent robotic walkers that use audiovisual and laser range data for cognitive assistance. His research has been instrumental in advancing natural, socially-aware robotic interfaces for assisted living.