Sweet: Social Awareness for Service Robots
SWEET (Social awareness for service robots) is a Doctoral Network (MSCA-DN) funded by the HORIZON Europe program, whose main objective is to train a new generation of experts capable of developing socially aware service robots. The project focuses on equipping robots with skills to perceive, interpret and respond appropriately to emotions, intentions and cultural differences in human environments.
The SWEET network offers an interdisciplinary doctoral program combining artificial intelligence, machine learning, human-robot interaction, computer vision and cognitive sciences. Research will be conducted in collaboration with universities, research centers, companies and robot manufacturers, thus promoting solutions that are technically feasible, ethically responsible and aligned with societal values.
The SWEET consortium is composed of 11 core partner entities and more than a dozen partner organizations, including universities, research centers and technology companies from Europe and Asia.
The project provides interdisciplinary doctoral training, with academic and industrial placements, based on fields such as artificial intelligence, human-robot interaction, social perception, robotics ethics and machine learning. Through this approach, SWEET seeks to promote the development of socially responsible, transparent and useful robots for sectors such as health, education or assistance to the elderly.
The University of Extremadura, through the RoboLab group, actively participates in research, training and technological development tasks within the consortium, contributing its experience in cognitive robotics and distributed systems.