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
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robots
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- social sciencespsychologycognitive psychology
Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Coordinator
80138 Napoli
Italy
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Participants (8)
06006 Badajoz
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28006 Madrid
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20148 Hamburg
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91120 Palaiseau
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08005 BARCELONA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75002 Paris
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114 28 Stockholm
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
24004 Leon
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Partners (16)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
136-791 Seoul
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1010021 Tokyo
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
T12 YN60 Cork
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44894 Bochum
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28036 MADRID
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56127 Pisa
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0313 Oslo
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80124 Naples
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
63073 Offenbach/Main
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80124 Napoli
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
08035 Barcelona
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33615 Bielefeld
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S1 1WB Sheffield
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
S12NS SHEFFIELD
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
91128 Palaiseau
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
08034 Barcelona
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