Effrosyni Mavroudi

National Technical University of Athens, Johns Hopkins University

Papers

Total Citations

169

H-Index

About

Effrosyni Mavroudi is a leading researcher at the intersection of assistive robotics, multimodal perception, and pediatric rehabilitation. Her work focuses on developing intelligent systems that interpret human action through integrated audio and visual inputs, with a particular emphasis on applications for vulnerable populations. Her most cited paper, "Multimodal human action recognition in assistive human-robot interaction" (118 citations), introduced a groundbreaking interface that combines microphone arrays and high-definition cameras to enable robots to understand complex human gestures and speech in real-world settings. This work has become foundational for creating more responsive and intuitive assistive technologies. Mavroudi is also the architect of the Grounded Early Adaptive Rehabilitation (GEAR) system, a novel approach to pediatric motor rehabilitation that leverages smart environments to promote concurrent motor, cognitive, and social development in infants. Her 2020 paper on GEAR (40 citations) has influenced early intervention strategies, while her 2021 work on infant action classification (11 citations) addresses the unique challenges of recognizing movement in children, whose body proportions and poses differ significantly from adults. Through her research, Mavroudi is shaping the future of human-robot interaction and rehabilitation technology, making assistive systems more adaptive, inclusive, and developmentally appropriate.