The hyPEr ExpeRt collaborative AI assistant

Informazioni relative al progetto

PEER

ID dell’accordo di sovvenzione: 101120406

DOI 10.3030/101120406

Data della firma CE 26 Giugno 2023

Data di avvio 1 Ottobre 2023

Data di completamento 30 Settembre 2027

Finanziato da

• Digital, Industry and Space

Costo totale € 7 737 900,00

Contributo UE € 7 737 900,00

Coordinato da

VRIJE UNIVERSITEIT BRUSSEL
Belgium

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (3)

Dissemination & Communication Plan (1st version)

Detailed exploitation, communication and dissemination plan, to ensure effective exploitation and dissemination of the project results and communication throughout the project geared towards engaging stakeholders and relevant different profiles (targeted audiences). This strategy will address communication objectives and approach, target audience, media channels and tools, messages, activities, materials and KPIs.

AI co-creation representations

Set of developed AI representation through tech cards.

Measurement scales and metrics for trustworthy AI

This deliverable will provide the definition of the different scales and metrics to measure acceptance of AI systems. It will also provide the tools and protocols to measure it.

Pubblicazioni

Peer reviewed articles (1)

Learning efficient in-store picking strategies to reduce customer encounters in omnichannel retail

Autori: Fábio Neves-Moreira, Pedro Amorim
Pubblicato in: International Journal of Production Economics, Numero 267, 2023, ISSN 0925-5273
Editore: Elsevier BV
DOI: 10.1016/j.ijpe.2023.109074

Conference proceedings (2)

Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic

Autori: Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma
Pubblicato in: 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
Editore: Proceedings of the 27th European Conference on Artificial Intelligence
DOI: 10.48550/arXiv.2407.10820

Planning for Human-Robot Collaboration Scenarios with Heterogeneous Costs and Durations

Autori: Silvia Izquierdo-Badiola, Gerard Canal, Guillem Alenyà, Carlos Rizzo, Andrew Coles
Pubblicato in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editore: IOS Press
DOI: 10.3233/FAIA241019