Collaborative Intelligence for Safety Critical systems

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

Website completion

Website for the project

Webinar registration for late recruitment and for dissemination

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

Year 3 Communication plan including public engagement & High impact publications

Communication plan including public engagement & High impact publications for year 3

Year1 Communication plan including public engagement & High impact publications

Communication plan including public engagement High impact publications

Roadmap for Standardization and input in EU guidelines
AI algorithms for CI State of the art review

AI algorithms for Collaborative Intelligence State of the art review

White paper produced for EU AI alliance

Pubblicazioni

Evaluating Safety and Productivity Relationship in Human-Robot Collaboration

Autori: Aayush Jain, Shakra Mehak, Philip Long, John D. Kelleher4, Michael Guilfoyle, and Maria Chiara Leva
Pubblicato in: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), 2022
Editore: 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

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

Action Classification in Human Robot Interaction Cells in Manufacturing

Autori: Mehak, Shakra S.M.; Leva, Maria Chiara; Kelleher, John; Guilfoyle, Michael
Pubblicato in: Proceedings of the 2023 8th International Conference on Machine Learning Technologie, Numero 8th, March 10 - 12, 2023, 2023, Pagina/e 214 - 220, ISBN 978-1-4503-9832-9
Editore: Association for Computing Machinery
DOI: 10.1145/3589883.35899

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

Autori: Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K Ramasubramanian
Pubblicato in: 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), Numero 16, 2024, Pagina/e 2917-2923, ISBN 979-8-3503-7397-4
Editore: IEEE
DOI: 10.1109/codit62066.2024.10708345

Defect Detection In Vehicle Painting: Case Study

Autori: Doaa Almhaithawia, Alessandro Bellinib
Pubblicato in: ESREL 2024 Collection of Extended Abstracts, Numero 34th, 23-27 June 2024, 2024, ISBN 978-83-68136-10-4
Editore: Polish Safety and Reliability Association

Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms

Autori: Joseph Mietkiewicz, Ammar N. Abbas, Chidera Winifred Amazu, Anders L. Madsen, Gabriele Baldissone
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, Numero 33rd, 3-8 September 2023, 2023, Pagina/e 2806-2813
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p531-cd

Understanding and Quantifying Human Factors in Programming from Demonstration: A User Study Proposal

Autori: Shakra Mehak, Aayush Jain, John D. Kelleher, Philip Long, Michael Guilfoyle, Maria Chiara Leva
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, Numero 33rd, 3-8 September 2023, 2023, Pagina/e 2991-2998
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p241-cd

Physiological Impact Assessment of Decision Support Systems on Control Room Operators: An ANCOVA Analysis

Autori: Joseph Mietkiewicz, Ammar N. Abbas, Chidera W. Amazu, Anders L. Madsen, Maria Chiara Leva
Pubblicato in: Proceedings of the 35th European Safety and Reliability Conference (ESREL2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025), Numero 35rd, 15-19 June 2025, 2025, ISBN 978-981-94-3281-3
Editore: RESEARCH PUBLISHING
DOI: 10.3850/978-981-94-3281-3_esrel-sra-e2025-p9407-cd

Improvement of the Fine tuning algorithm

Autori: Mietkiewicz, Joseph; Madsen, Anders Læsø
Pubblicato in: BNAIC/BeNeLearn 2022, Numero 7 – 9 November 9, 2022, 2022
Editore: University of Antwerp
DOI: 10.21427/7kqm-cq71

A COMPARATIVE ANALYSIS FOR THE EVALUATION OF PRODUCTIVITY IN HUMAN-ROBOT COLLABORATION

Autori: Carlo Caiazzo, Marija Savkovic, Nikola Komatina, Nastasija Mijovic, Ivan Macuzic, Marko Djapan
Pubblicato in: International Symposium on Occupational Safety and Hygiene: Proceedings Book of the SHO2023, Numero 20-21 July, 2023, 2024, Pagina/e 206-211, ISBN 978-989-54863-4-2
Editore: SPSHO
DOI: 10.24840/978-989-54863-4-2_0206-0211

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

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

From Theory to Practice: Achieving Reliable Robot Autonomy through Symbol Grounding

Autori: Aayush Jain, Philip Long, John D. Kelleher, Maria Chiara Leva
Pubblicato in: Proceedings of the 35th European Safety and Reliability & the 33rd Society for Risk Analysis Europe Conference, Numero 35rd, 15-19 June 2025, 2025, ISBN 978-981-94-3281-3
Editore: RESEARCH PUBLISHING
DOI: 10.3850/978-981-94-3281-3_esrel-sra-e2025-p3449-cd

Modifying a Manufacturing Task for Teamwork between Humans and AI; Initial Data Collection to Guide Requirements Specifications

Autori: Andrés Alonso Pérez, Hector Diego Estrada-Lugo, Enrique Muñoz-de-Escalona Fernéandez, Maria Chiara Leva, Julen Aperribai, Arkaitz Aranburu
Pubblicato in: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, Numero 32rd, 28 August - 7 September, 2023, Pagina/e 3267-3276, ISBN 978-981-18-5183-4
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-5183-4_s33-08-671-cd

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

Autori: Carlo Caiazzo, Snežana Nestić, Marija Savković
Pubblicato in: Lecture Notes in Networks and Systems, Numero LNNS,volume 562, 2022, ISBN 978-3-031-18645-5
Editore: Springer, Cham
DOI: 10.1007/978-3-031-18645-5_30

Analysing ``Human-in-the-Loop'' for Advances in Process Safety: A Design of Experiment in a Simulated Process Control Room

Autori: Chidera Winifred Amazu, Houda Briwa, Micaela Demichela, Davide Fissore, Gabriele Baldissone, Maria Chiara Leva
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, Numero 33rd, 3-8 September 2023, 2023, Pagina/e 2780-2787
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p481-cd

Framework of Modular Industrial Assembly Workstations in a Collaborative Environment

Autori: Carlo Caiazzo, Marija Savković, Milan Radenković, Arso Vukićević, Miloš Jovičić, and Marko Djapan
Pubblicato in: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), 2022, ISBN 978-981-18-5183-4
Editore: RESEARCH PUBLISHING
DOI: 10.3850/978-981-18-5183-4_j01-07-285-cd

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

Autori: Ammar N. Abbas, Georgios C. Chasparis & John D. Kelleher
Pubblicato in: Lecture Notes in Computer Science, Numero LNCS,volume 13428, 2022, ISBN 978-3-031-12670-3
Editore: Springer Nature
DOI: 10.1007/978-3-031-12670-3_12

On the Construction of Numerical Models through a Prime Convolutional Approach

Autori: Doaa Almhaithawi, Massimo Bertini, Stefano Cuomo, Francesco Panelli, Alessandro Bellini, Tania Cerquitelli
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, Numero 33rd, 3-8 September 2023, 2023, Pagina/e 2821-2829, ISBN 978-981-18-8071-1
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p672-cd

Visual Mental Workload Assessment from EEG in Manual Assembly Task

Autori: Miloš Pušica, Carlo Caiazzo, Marko Djapan, Marija Savkovi\'c, Maria Chiara Leva
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, Numero 33rd, 3-8 September 2023, 2023, Pagina/e 2999-3005, ISBN 978-981-18-8071-1
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p667-cd

ARCHITECTURE OF HUMAN-ROBOT COLLABORATION IN MANUFACTURING INDUSTRIES

Autori: Caiazzo C. Carlo, Djordjevic Aleksandar, Savković Marija, Djapan Marko, Vukicevic Arso
Pubblicato in: The 19 th International Conference “Man and Working Environment” OCCUPATIONAL AND ENVIRONMENTAL SAFETY ENGINEERING & MANAGEMENT, Numero 19th, 24-25, November 2022, 2022, Pagina/e 307-314, ISBN 9788660931124
Editore: University of Niš, Faculty of Occupational Safety

Framework of a Neuroergonomic Assessment in Human-Robot Collaboration

Autori: Carlo Caiazzo, Marija Savkovi\'c, Miloš Pušica, Nastasija Nikolic, Djordje Milojevic, Marko Djapan
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, Numero 33rd, 3-8 September 2023, 2023, Pagina/e 2814-2820, ISBN 978-981-18-8071-1
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p214-cd

Wearable Technology and Machine Learning for Assessing Physical Fatigue in Industry 4.0

Autori: Carlos Albarrán Morillo, Micaela Demichela, Devesh Jawla, John Kelleher
Pubblicato in: AHFE International, Human Factors and Wearable Technologies, Numero 141, 2024, Pagina/e 28-36
Editore: AHFE International
DOI: 10.54941/ahfe1005052

Neuro-Symbolic AI for Sensor-based Human Performance Prediction; System Architectures and Applications

Autori: Inês Filipa Fernandes Ramos, Gabriele Gianini, Ernesto Damiani
Pubblicato in: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, 2023, Pagina/e 3210-3217
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-5183-4_s33-01-310

Human-in-the-Loop Configurations in Process and Energy Industries; A Systematic Review

Autori: Chidera Winifred Amazu, Micaela Demichela, Davide Fissore
Pubblicato in: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, Numero 32rd ,28th August – 1st September, 2023, Pagina/e 3234-3241
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-5183-4_s33-04-572

USING NEURAL NETWORK WITH CONVOLUTION LAYER FOR AUTOMATICQUALITY INSPECTION

Autori: Marija Savković, Nikola Mijailović, Marko Djapan, Carlo Caiazzo
Pubblicato in: 19th International Scientific Conference on Industrial Systems, Numero 19th, 4-6 October 2023, 2023, Pagina/e T5.1
Editore: Proceedings cover

Wearable Devices Enhancing Human Capabilities In Direct Enamel Painting Defect Detection

Autori: Albarran Morillo, Carlos; Demichela, Micaela
Pubblicato in: Advance in Reliability Safty and Security Collection of Extended Abstracts Part 1, Numero 33rd, 23-27 June 2024, 2024, Pagina/e 191-192, ISBN 978-83-68136-10-4
Editore: Polish Safty and Reliability Association

Defect Detection In Vehicle Painting: Case Study

Autori: Doaa Almhaithawi, Alessandro Bellini
Pubblicato in: ESREL 2024 Collection of Extended Abstracts Part 1, Numero 34th, 23-27 June 2024, 2024, Pagina/e 169-170, ISBN 978-83-68136-23-4
Editore: Polish Safety and Reliability Association

Data Driven Bayesian Network to Predict Critical Alarm

Autori: Joseph Mietkiewicz, Anders L. Madsen
Pubblicato in: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, Numero 32, 28 August - 7 September, 2023, Pagina/e 3252-3259, ISBN 978-981-18-5183-4
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-5183-4_s33-06-643

Alarm Management for Human Performance. Are We Getting Better?

Autori: Houda Briwa, Maria Chiara Leva, Rob Turner
Pubblicato in: Book of Extended Abstracts for the 32nd European Safety and Reliability Conference, Numero 32rd, 28 August - 7 September, 2023, Pagina/e 3242-3251, ISBN 978-981-18-5183-4
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-5183-4_s33-05-584-cd

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

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

Modelling Industrial Vulnerabilities to NaTech: Methodological Contributions from Historical Lightning Triggered Analysis

Autori: David Javier Castro Rodriguez, Joseph Mietkiewicz, Morena Vitale, Gabriele Baldissone, Micaela Demichela, Antonello A. Barresi
Pubblicato in: ESREL 2024 Collection of Extended Abstracts Part 1, Numero 34th, 23-27 June 2024, 2024, ISBN 978-83-68136-23-4
Editore: Polish Safety and Reliability Association

The Role Of Human Dynamics In Effective Robot Learning Through Programming By Demonstration

Autori: Shakra Mehak, Aayush Jain, John D. Keheller, Philip Long, Michael Guilfoyle, Maria Chiara Leva
Pubblicato in: ESREL 2024 Collection of Extended Abstracts, Numero 34th, 23-27 June 2024, 2024, ISBN 978-83-68136-24-1
Editore: Polish Safety and Reliability Association

User-Centered Evaluation Framework for Telerobot Interface and Interaction factors -- A Case Study on Medical Device Manufacturing

Autori: In\^es F. Ramos, Keerthi Sagar, Philip Long, Ernesto Damiani, Maria Chiara Leva, Gabriele Gianini
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, 2023, Pagina/e 2316-2317
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p295-cd

ADVANCED PHYSICAL ERGONOMICS AND NEUROERGONOMICS RESEARCH ON AN ASSEMBLY WORKSTATION

Autori: Savković Marija, Mijailovic, Nikola, Caiazzo Carlo, Djapan Marko, Vukicevic Arso
Pubblicato in: The 19th International Conference “Man and Working Environment” OCCUPATIONAL AND ENVIRONMENTAL SAFETY ENGINEERING & MANAGEMENT, Numero 19th, 24-25, November 2022, 2022, Pagina/e 351- 358, ISBN 9788660931124
Editore: University of Niš, Faculty of Occupational Safety

CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation

Autori: Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva
Pubblicato in: 2024 IEEE International Conference on Robotics and Automation (ICRA), Numero 13-17 May 2024, 2024, Pagina/e 12993-12999
Editore: IEEE
DOI: 10.1109/icra57147.2024.10611654

Revising the ``Ability Corners'' Approach: A New Strategy to Assessing Human Capabilities in Industrial Domains

Autori: Carlos Albarrán Morillo, Maria Chiara Leva, Micaela Demichela
Pubblicato in: Proceeding of the 33rd European Safety and Reliability Conference, Numero 33rd, 3-8 September 2023, 2023, Pagina/e 2983-2990
Editore: Research Publishing Services
DOI: 10.3850/978-981-18-8071-1_p646-cd

A Data-Driven Framework to Model Physical Fatigue in Industrial Environments Using Wearable Technologies

Autori: Carlos Albarrán Morillo, Micaela Demichela
Pubblicato in: AHFE International, Neuroergonomics and Cognitive Engineering, Numero 102, 2023, Pagina/e 160-170
Editore: AHFE International
DOI: 10.54941/ahfe1003016

Human Factors in Alarm Response Procedures: an Empirical Analysis of Paper versus Digital support

Autori: Chidera Amazu, John Mcgrory, Maria Chiara Leva, Gabriele Baldissone, Davide Fissore, Micaela Demichela
Pubblicato in: AHFE International, Human Interaction and Emerging Technologies (IHIET 2024), Numero 157, 2024, Pagina/e 116-125
Editore: AHFE International
DOI: 10.54941/ahfe1005470

Lessons Learnt From Human-In-Loop Experimental Scenarios For Advanced Automation In Process Safety

Autori: Amazu, Chidera Winifred; Mietkiewicz, Joseph; Abbas, Ammar N.; Baldissone, Gabriele; Demichela, Micaela; Fissore, Davide; Leva, Maria Chiara
Pubblicato in: Advances in Reliability, Safety and Security, Numero Part 5, 2024, ISBN 978-83-68136-04-3
Editore: Polish Safety and Reliability Association

Managing the unexpected: Operator behavioural data and its value in predicting correct alarm responses

Autori: Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Anders L. Madsen, Maria Chiara Leva
Pubblicato in: 2025
Editore: Arxiv
DOI: 10.48550/arxiv.2508.10917

Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces

Autori: Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Pubblicato in: 2025
Editore: Arxiv
DOI: 10.21203/rs.3.rs-3918353/v1

The Design of the Principal Component Analysis (PCA)-based Fuzzy Logic Classifier on Physical Fatigue in ProcessIndustries

Autori: Shi Huxiao, Albarran Morillo Carlos, Baldissone Gabriele, Demichela Micaela
Pubblicato in: CHEMICAL ENGINEERING TRANSACTIONS, Numero 111, 2024, Pagina/e 211-216, ISSN 2283-9216
Editore: The Italian Association of Chemical Engineering
DOI: 10.3303/cet24111036

Exploring Wearable Devices for Enhanced ErgonomicSolutions: a Pharmaceutical Case Study

Autori: Carlos Albarrán Morillo , Micaela Demichela, John F. Suárez-Pérezb, Nasli Yuceti Miranda Arandiac , Mónica Andrea Camargo Salinas
Pubblicato in: CHEMICAL ENGINEERING TRANSACTIONS, Numero 116, 2025, Pagina/e 25-30, ISSN 2283-9216
Editore: The Italian Association of Chemical Engineering
DOI: 10.3303/cet25116005

Exploring the Impact of Repetitive Exercise on Physical Fatigue: a Study of Industrial Task Simulation in a Controlled Fitness Setting

Autori: Albarran Morillo, Carlos; Micaela, Demichela
Pubblicato in: Chemical Engineering Transactions, Numero 99, 2023, Pagina/e 163-168, ISSN 2283-9216
Editore: The Italian Association of Chemical Engineering
DOI: 10.3303/cet2399028

Comparing Two Control Room Intervention Procedure Formats: Preliminary Insights from Eye Tracking Measures

Autori: Chidera Winifred Amazu; Micaela Demichela; Davide Fissore; Maria Chiara Leva
Pubblicato in: Chemical Engineering Transactions, Numero 111, 2024, Pagina/e 223-228, ISSN 2283-9216
Editore: The Italian Association of Chemical Engineering
DOI: 10.3303/cet24111038

Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies

Autori: Ammar N. Abbas, Chidera W. Amazu, Joseph Mietkiewicz, Houda Briwa, Andres Alonso Perez, Gabriele Baldissone, Micaela Demichela, Georgios C. Chasparis, John D. Kelleher, Maria Chiara Leva
Pubblicato in: International Journal of Human–Computer Interaction, Numero 41, 2025, Pagina/e 7218-7252, ISSN 1044-7318
Editore: Lawrence Erlbaum Associates Inc.
DOI: 10.1080/10447318.2024.2391605

Optimizing Human Performance to Enhance Safety: A Case Study in an Automotive Plant

Autori: Maria Chiara Leva, Micaela Demichela, Carlos Albarrán Morillo, Franco Modaffari, Lorenzo Comberti
Pubblicato in: Sustainability, Numero 15, 2023, Pagina/e 11097, ISSN 2071-1050
Editore: MDPI Open Access Publishing
DOI: 10.3390/su151411097

Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks

Autori: Devesh Jawla, John Kelleher
Pubblicato in: Frontiers in Artificial Intelligence, Numero 8, 2025, ISSN 2624-8212
Editore: Frontiers Media SA
DOI: 10.3389/frai.2025.1444891

Experiment data: Human-in-the-loop decision support in process control rooms

Autori: Chidera Winifred Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Houda Briwa, Andres Alonso Perez, Gabriele Baldissone, Micaela Demichela, Davide Fissore, Anders L. Madsen, Maria Chiara Leva
Pubblicato in: Data in Brief, Numero 53, 2024, Pagina/e 110170, ISSN 2352-3409
Editore: Elsevier BV
DOI: 10.1016/j.dib.2024.110170

Collaborative Intelligence for Safety-Critical Industries: A Literature Review

Autori: Inês F. Ramos, Gabriele Gianini, Maria Chiara Leva, Ernesto Damiani
Pubblicato in: Information, Numero 15, 2025, Pagina/e 728, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info15110728

Enhancing Control Room Operator Decision Making

Autori: Joseph Mietkiewicz, Ammar N. Abbas, Chidera W. Amazu, Gabriele Baldissone, Anders L. Madsen, Micaela Demichela, Maria Chiara Leva
Pubblicato in: Processes, Numero 12, 2024, Pagina/e 328, ISSN 2227-9717
Editore: MDPI AG
DOI: 10.3390/pr12020328

Development of a Neuroergonomic Assessment for the Evaluation of Mental Workload in an Industrial Human–Robot Interaction Assembly Task: A Comparative Case Study

Autori: Carlo Caiazzo, Marija Savkovic, Milos Pusica, Djordje Milojevic, Maria Chiara Leva, Marko Djapan
Pubblicato in: Machines, Numero 11, 2023, Pagina/e 995, ISSN 2075-1702
Editore: MDPI AG
DOI: 10.3390/machines11110995

A roadmap for improving data quality through standards for collaborative intelligence in human-robot applications

Autori: Shakra Mehak, Inês F. Ramos, Keerthi Sagar, Aswin Ramasubramanian, John D. Kelleher, Michael Guilfoyle, Gabriele Gianini, Ernesto Damiani, Maria Chiara Leva
Pubblicato in: Frontiers in Robotics and AI, Numero 11, 2024, ISSN 2296-9144
Editore: Frontiers Media SA
DOI: 10.3389/frobt.2024.1434351

Customizing a Weighted Scale for Precision in Fatigue Assessment within the Process Industry

Autori: Albarran Morillo Carlos; Shi Huxiao; Baldissone Gabriele; Demichela Micaela
Pubblicato in: Chemical Engineering Transactions, Numero 111, 2024, Pagina/e 193-198, ISSN 2283-9216
Editore: The Italian Association of Chemical Engineering
DOI: 10.3303/cet24111033

Mental Workload Classification and Tasks Detection in Multitasking: Deep Learning Insights from EEG Study

Autori: Miloš Pušica, Aneta Kartali, Luka Bojović, Ivan Gligorijević, Jelena Jovanović, Maria Chiara Leva, Bogdan Mijović
Pubblicato in: Brain Sciences, Numero 14, 2025, Pagina/e 149, ISSN 2076-3425
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci14020149

NaTech triggered by lightning: Novel insights from past events in the process industry

Autori: David Javier Castro Rodriguez, Joseph Mietkiewicz, Morena Vitale, Gabriele Baldissone, Antonello A. Barresi, Micaela Demichela
Pubblicato in: Heliyon, Numero 10, 2025, Pagina/e e31610, ISSN 2405-8440
Editore: Elsevier BV
DOI: 10.1016/j.heliyon.2024.e31610

Exploring the Influence of Human System Interfaces: Introducing Support Tools and an Experimental Study

Autori: Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Houda Briwa, Andres Alonso-Perez, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Maria Chiara Leva
Pubblicato in: International Journal of Human–Computer Interaction, Numero 41, 2025, Pagina/e 6300-6317, ISSN 1044-7318
Editore: Lawrence Erlbaum Associates Inc.
DOI: 10.1080/10447318.2024.2376354

Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance

Autori: Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Pubblicato in: Data & Knowledge Engineering, Numero 149, 2023, Pagina/e 102240, ISSN 0169-023X
Editore: Elsevier BV
DOI: 10.1016/j.datak.2023.102240

Investigating the Potential of Latent Space for the Classification of Paint Defects

Autori: Doaa Almhaithawi, Alessandro Bellini, Georgios C. Chasparis, Tania Cerquitelli
Pubblicato in: Journal of Imaging, Numero 11, 2025, Pagina/e 33, ISSN 2313-433X
Editore: MDPI AG
DOI: 10.3390/jimaging11020033

Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities

Autori: Shakra Mehak, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva
Pubblicato in: Machines, Numero 12, 2025, Pagina/e 45, ISSN 2075-1702
Editore: MDPI AG
DOI: 10.3390/machines12010045

Toward Unbiased High-Quality Portraits through Latent-Space Evaluation

Autori: Doaa Almhaithawi, Alessandro Bellini, Tania Cerquitelli
Pubblicato in: Journal of Imaging, Numero 10, 2024, Pagina/e 157, ISSN 2313-433X
Editore: MDPI AG
DOI: 10.3390/jimaging10070157

Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging

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DOI: 10.3389/fnbot.2022.863637

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