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CORDIS

Collaborative Intelligence for Safety Critical systems

Rezultaty

year 1 Workshops' Reports

Workshops Reports for workshops carried out in year 1

Data integration need for AI in CI applications

Data integration need for Artificial Intelligence in Collaborative Intelligence applications

Year 2 Communication plan including public engagement & High impact publications

Communication plan including public engagement High impact publications

Year1 Communication plan including public engagement & High impact publications

Communication plan including public engagement High impact publications

AI algorithms for CI State of the art review

AI algorithms for Collaborative Intelligence State of the art review

Publikacje

Evaluating Safety and Productivity Relationship in Human-Robot Collaboration

Autorzy: Aayush Jain, Shakra Mehak, Philip Long, John D. Kelleher4, Michael Guilfoyle, and Maria Chiara Leva
Opublikowane w: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), 2022
Wydawca: Research Publishing
DOI: 10.3850/978-981-18-5183-4_s33-02-322-cd

Deep Residual Policy Reinforcement Learning as a Corrective Term in Process Control for Alarm Reduction: A Preliminary Report

Autorzy: Ammar N. Abbas, Georgios C. Chasparis, and John D. Kelleher
Opublikowane w: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), Numer 2022, 2022, ISBN 978-981-18-5183-4
Wydawca: RESEARCH PUBLISHING
DOI: 10.3850/978-981-18-5183-4_s33-07-668-cd

Women’s Perspective of Personal Safety on Public Transport in Ireland

Autorzy: Ajeni Ari, Joseph Mietkiewicz, Maria Chiara Leva, Lorraine D'Arcy, and Mary Kinahan
Opublikowane w: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), 2022
Wydawca: Research Publishing
DOI: 10.3850/978-981-18-5183-4_s06-15-565-cd

A Systematic Classification of Key Performance Indicators in Human-Robot Collaboration

Autorzy: Carlo Caiazzo, Snežana Nestić, Marija Savković
Opublikowane w: Lecture Notes in Networks and Systems, Numer LNNS,volume 562, 2022, ISBN 978-3-031-18645-5
Wydawca: Springer, Cham
DOI: 10.1007/978-3-031-18645-5_30

Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines

Autorzy: Ammar N. Abbas, Georgios C. Chasparis & John D. Kelleher
Opublikowane w: Lecture Notes in Computer Science, Numer LNCS,volume 13428, 2022, ISBN 978-3-031-12670-3
Wydawca: Springer Nature
DOI: 10.1007/978-3-031-12670-3_12

Safety-Critical Systems in the Automotive Sector: Pros and Cons in the Current State-of-the-Art of Human Performance Assessment

Autorzy: Carlos Albarrán Morillo, Devesh Jawla, John D. Kelleher, and Micaela Demichela
Opublikowane w: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), Numer 2022, 2022, ISBN 978-981-18-5183-4
Wydawca: RESEARCH PUBLISHING
DOI: 10.3850/978-981-18-5183-4_s33-03-571-cd

Exploring Latent Space Using a Non-linear Dimensionality Reduction Algorithm for Style Transfer Application

Autorzy: Almhaithawi, D., Bellini, A., Cuomo, S.
Opublikowane w: Communications in Computer and Information Science book series, 2022, ISBN 978-3-031-15742-4
Wydawca: Springer Nature Switzerland AG
DOI: 10.1007/978-3-031-15743-1_26

Development of Modular and Adaptive Laboratory Set-Up for Neuroergonomic and Human-Robot Interaction Research

Autorzy: Marija Savković, Carlo Caiazzo, Marko Djapan, Arso M. Vukićević, Miloš Pušica, and Ivan Mačužić
Opublikowane w: Frontiers in Neurorobotics, Numer Volumen 16, 2022, ISSN 1662-5218
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fnbot.2022.863637

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