Manuel Marques

Iscte – Instituto Universitário de Lisboa, INESC TEC, University of Lisbon

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About

Manuel Marques is a researcher at the intersection of computer vision and assistive robotics, with a primary focus on developing autonomous systems that enhance human quality of life. His most significant contribution lies in the domain of robotic feeding assistance, where he has pioneered vision-augmented manipulation systems. His 2019 paper, "Vision Augmented Robot Feeding," with 28 citations, established a framework for enabling robots to perceive and adapt to dynamic eating scenarios. Building on this, he co-developed "Feedbot," a robotic arm for autonomous assisted feeding, which demonstrated practical deployment in caregiving contexts. Marques has also advanced head pose estimation under challenging occlusion settings, publishing in 2022 a latent space regression method that achieved 18 citations for its robustness in real-world conditions. His work is notable for bridging the gap between high-level visual perception and low-level robotic control, directly addressing the needs of individuals with motor impairments. Through these contributions, Marques has laid foundational groundwork for more intuitive and responsive assistive technologies, earning recognition for his human-centered approach to robotics.