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Social aWareness for sErvicE roboTs

Project description

Developing socially aware robots

To create autonomous robots that adhere to social norms and expectations while avoiding human rejection, it is necessary that robots are aware of their social context. Therefore, they need to be highly reactive, proactive, responsive, and intelligible. With the support of the Marie Skłodowska-Curie Actions programme, the SWEET project aims to train researchers and professionals to develop socially aware robots that are capable of perceiving, interpreting, and responding to human emotions, intentions, and contextual differences. The training program will offer a diverse curriculum, encompassing theoretical knowledge, technical skills, and real-world application scenarios, including interdisciplinary training in AI, machine learning, human-robot interaction, and cognitive sciences. Doctoral candidates will engage in cutting-edge research and innovation focusing on ethical considerations and responsible innovation.

Objective

To develop autonomous robots that are able to comply with social conventions and expectations, and avoid rejection from humans requires that robots must be aware of the social context in which they operate. To this extent, robots need to be endowed with high levels of reactivity, proactivity, responsiveness, and intelligibility. The Doctoral Network - Industrial Doctorates on Social aWareness for sErvicE roboTs (SWEET) aims at training a new generation of research and professional figures able to advance the development of socially aware robots capable of perceiving, interpreting, and responding to human emotions, intentions, and cultural differences.
The training program will offer a diverse curriculum, encompassing theoretical knowledge, hands-on technical skills, and real-world application scenarios. The network's interdisciplinary approach includes various fields, such as artificial intelligence, machine learning, human-robot interaction, computer vision, and cognitive sciences. Doctoral candidates will be immersed in cutting-edge research and innovation, gaining insights from the experience of both industrial and academic acclaimed research groups. The network will place a strong emphasis on ethical considerations and responsible innovation, deploying socially aware robots aligned with societal values and promoting inclusivity.
Doctoral Candidates will also have the opportunity to participate in a unique coaching program for continuous professional development of their soft and leadership individual skills. Integration Milestones following a Scenario-Based Learning approach will provide co-working activities where collaborative design/implementation is fostered. The inter-sectoral collaboration between academia, user groups’ representatives, business developers, and robot manufacturers of the project will further strengthen the novelty and impact of the research and training, and that research results are economically, socially, and technically feasible.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-TMA-MSCA-DN-ID - HORIZON TMA MSCA Doctoral Networks - Industrial Doctorates

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Call for proposal

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(opens in new window) HORIZON-MSCA-2023-DN-01

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Coordinator

UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 778 312,80
Address
CORSO UMBERTO I, 40
80138 Napoli
Italy

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Region
Sud Campania Napoli
Activity type
Higher or Secondary Education Establishments
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Total cost

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No data

Participants (8)

Partners (16)

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