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Project information

ID: 101070254

Fecha inicio

01-10-2022

Fecha fin

30-09-2026


Institutional Coordinator
Polytechnic University of Madrid

Financing

1 144 887,50 Euros
(Total amount or amount awarded)

More information in

Analysis of institutional authors

Sanz Bravo, RicardoPrincipal investigatorCampoy Cervera, PascualParticipantMolina González, MartínParticipantDiaz Montilla, CristinaParticipantAguado Gonzalez, EstherParticipantRodriguez Hernandez, ManuelParticipantFernandez Cortizas, MiguelParticipant

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Competitive project

CoreSense: A Hybrid Cognitive Architecture for Deep Understanding

Researchers: FERNANDEZ CORTIZAS, MIGUEL (Participante); Rodriguez Hernandez, Manuel (Participante); AGUADO GONZALEZ, ESTHER (Participante); DIAZ MONTILLA, CRISTINA (Participante); Molina González, Martín (Participante); CAMPOY CERVERA, PASCUAL (Participante); Sanz Bravo, Ricardo (Investigador principal (IP))

Affiliations

Abstract

Cognitive robots are augmenting their autonomy, enabling them to deployments in increasingly open-ended environments. This offers enormous possibilities for improvements in human economy and wellbeing. However, it also poses strong risks that are difficult to assess and control by humans. The trend towards increased autonomy conveys augmented problems concerning reliability, resilience, and trust for autonomous robots in open worlds. The essence of the problem can be traced to robots suffering from a lack of understanding of what is going on and a lack of awareness of their role in it. This is a problem that artificial intelligence approaches based on machine learning are not addressing well. Autonomous robots do not fully understand their open environments, their complex missions, their intricate realizations, and the unexpected events that affect their performance. An improvement in the capability to understand of autonomous robots is needed. This project tries to provide a solution to this need in the form of 1) a theory of understanding, 2) a theory of awareness, 3) reusable software assets to apply these theories in real robots, and 4) three demonstrations of its capability to a) augment resilience of drone teams, b) augment flexibility of manufacturing robots, and c) augment human alignment of social robots. In summary, we will develop a cognitive architecture for autonomous robots based on a formal concept of understanding, supporting value-oriented situation understanding and self-awareness to improve robot flexibility, resilience and explainability. (Objectives)

Keywords

Financing

Quality index

Call

Horizon Europe

Financer

Comisión Europea; Ceske vysoke uceni technicke v Praze; FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V

Reach

Internacional no UE

Country

Belgium; Spain

Institutional Coordinator

Si

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