Human-centric Digital Twin Approaches to Trustworthy AI and Robotics for Improved Working Conditions

Informazioni relative al progetto

AI4Work

ID dell’accordo di sovvenzione: 101135990

DOI

10.3030/101135990

Data della firma CE 14 Novembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 8 197 154,38

Contributo UE

€ 6 818 658,38

Coordinato da

INSTITUT FÜR ANGEWANDTE SYSTEMTECHNIK BREMEN GMBH
Germany

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 (11)

Evaluation Methodology - Initial Version

Evaluation of pilots creating a more general framework for evaluating effectiveness of SWS

Quality management plan

Baseline for the quality assurance management.

Pilots plan - Initial Version

Detailed description of the pilots’ UCs; initial plan for the implementation of pilots.

Customised Evaluation Methodology

Customised units of analysis, stakeholders teams, monitoring and evaluation criteria defined for each pilot

Outreach strategy - Intermediate Version

Plan for Using and Disseminating Knowledge including communication activities

Networking and outreach activities - Initial Version

List of actions planned/executed

Outreach strategy - Initial Version

Plan for Using and Disseminating Knowledge including communication activities

AI4Work concept

Concept of envisioned methods, platform and services. Laboratory prototypes of algorithms & services and testing results.

Body of knowledge - Initial Version

Body of knowledge for implementing Human-centred AI

Networking and outreach activities - Intermediate Version

List of actions planned/execution

Pilots Requirements Analysis & Update of SOTA

Detailed description of pilot requirements. Overview of state of research and practice relevant for Framework and SWS.

Pubblicazioni

Book chapters (1)

A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements

Autori: Tosello, Elisa; Valentini, Alessandro; Micheli, Andrea
Pubblicato in: Frontiers in Artificial Intelligence and Applications, 2024
Editore: IOS Press
DOI: 10.48550/ARXIV.2408.05795

Peer reviewed articles (3)

Students' Burnout Symptoms Detection Using Smartwatch Wearable Devices: A Systematic Literature Review

Autori: Lialiou, Paschalina; Maglogiannis, Ilias
Pubblicato in: AI Sensors, 2025, ISSN 3042-5999
Editore: www.mdpi.com
DOI: 10.3390/AISENS1010002

AI4Work Project: Human Centric Digital Twin Approaches to Trustworthy AI and Robotics for Improved Working Conditions in Healthcare and Education Sectors

Autori: Maglogiannis, Ilias; Trastelis, Filimon; KALOGEROPOULOS, MICHAEL; Khan, Arsalan; Gallos, Parisis; Menychtas, Andreas; Panagopoulos, Christos; PAPACHRISTOU, Petros; ISLAM, Najmul; Wolff, Annika; Pinto Soares, Salviano; Hansen, Scott; Scholze, Sebastian
Pubblicato in: IOS Press Series Studies in Health Technology and Informatics, Numero Vol. 316, pages 1013–1017, 2024, ISSN 1879-8365
Editore: IOS Press Ebooks
DOI: 10.3233/SHTI240581

An Overview of Tools and Technologies for Anxiety and Depression Management Using AI

Autori: Adrianos Pavlopoulos; Theodoros Rachiotis; Ilias Maglogiannis
Pubblicato in: Applied Sciences, 2024, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/APP14199068

Conference proceedings (4)

Adaptive Human-Robot Collaborative Missions using Hybrid Task Planning

Autori: Vazquez Flores, Gricel; Evangelidis, Alexandros; Shahbeigi Roudposhti, Sepeedeh; Gerasimou, Simos
Pubblicato in: 20th International Conference on Software Engineering for Adaptive and Self-Managing Systems , Otawa, Canada, 2025
Editore: White Rose Research Online
DOI: 10.5281/ZENODO.17074178

Exploration of core concepts required for mid- and domain-level ontology development to facilitate explainable-AI-readiness of data and models

Autori: Horsch, M. T., Chiacchiera, S., Todorov, I. T., Correia, A. T., Dey, A., Konchakova, N. A., Scholze, S., Stephan, S., Tøndel, K., Sarkar, A., Karray, M. H., Al Machot, F., & Schembera, B.
Pubblicato in: International Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2024), 2024
Editore: Zenodo
DOI: 10.5281/ZENODO.13148630

Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation

Autori: Tosello, Elisa; Valentini, Alessandro; Micheli, Andrea
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Editore: PKP Publishing Services Network
DOI: 10.1609/AAAI.V39I25.34874

Manufacturing workers fatigue: an exploratory study on predictive machine learning and cross-subject generalization with implications for work design

Autori: Emmanouilidis, Christos; Elias, Montini; Cutrona, Vincenzo; Jože M., Rožanec
Pubblicato in: IFAC-PapersOnLine, Numero Volume 58, Numero 19, 2024, Pages 557-562, 2024
Editore: Science Direct
DOI: 10.1016/J.IFACOL.2024.09.271