Publications
Deep Reinforcement Learning as a Rectification Agent in Process Control for Alarm Reduction
Alarm Management for human performance. Are we getting better?
Data driven Bayesian network to predict critical alarm
Data analysis of automated tasks in the manufacturing industry: preliminary report
Evaluating Safety and Productivity Relationship in Human-Robot Collaboration
Safety-Critical Systems in the Automotive Sector: Pros and Cons in the Current State-of-the-Art of Human Performance Assessment
Framework of Modular Industrial Assembly Workstations in a Collaborative Environment
Modifying a Manufacturing Task for Teamwork between Humans and AI: Initial Data Collection to Guide Requirements Specifications
Neuro-Symbolic AI for Sensor-based Human Performance Prediction: System Architectures and Applications
Development of Modular and Adaptive Laboratory Set-Up for Neuroergonomic and Human-Robot Interaction Research
Experimental Analysis of Handcart Pushing and Pulling Safety in an Industrial Environment by Using IoT Force and EMG Sensors Relationship with Operators’ Psychological Status and Pain Syndromes
Advance Physical Ergonomics and Neuroergonomics Research on an Assembly Workstation
Improving the Quality of Final Product by Poka-Yoke System on Assembly Workstation: a Case Study
Architecture of Human-Robot Collaboration in Manufacturing Industries
Revising the “Ability Corners” Approach: A New Strategy to Assessing Human Capabilities in Industrial Domains
Analysing ”Human-in-the-Loop” for Advances in Process Safety: A Design of Experiment in a Simulated Process Control Room
On the Construction of Numerical Models through a Prime Convolutional Approach
Understanding and Quantifying Human Factors in Programming from Demonstration: A User Study Proposal
Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms
Visual Mental Workload Assessment from EEG in Manual Assembly Task
Mental Workload Classification and Tasks Detection in Multitasking: Deep Learning Insights from EEG Study
Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities
Action Classification in Human Robot Interaction Cells in Manufacturing
Deep Residual Policy Reinforcement Learning as a Corrective Term in Process Control for Alarm Reduction: A Preliminary Report
Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines
Decision Making for Process Control Management in Control Rooms: a Survey Methodology and Initial Findings
Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms
Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance
Human-in-the-loop configurations in process and energy industries: a systematic review
Exploring Latent Space Using a Non-linear Dimensionality Reduction Algorithm for Style Transfer Application
Women’s Perspective of Personal Safety on Public Transport in Ireland
Improvement of the Fine tuning algorithm
A Systematic Classification of Key Performance Indicators in Human-Robot Collaboration
Action Classification in Human Robot Interaction Cells in Manufacturing: Moving Towards Mutual Performance Monitoring Capacity
A Data-Driven Framework to Model Physical Fatigue in Industrial Environments Using Wearable Technologies
Exploring the Impact of Repetitive Exercise on Physical Fatigue: A Study of Industrial Task Simulation in a Controlled Fitness Setting
Revising the "Ability Corners" Approach: A New Strategy to Assessing Human Capa- bilities in Industrial Domains
Optimizing Human Performance to Enhance Safety: A Case Study in an Automotive Plant
User-centered Evaluation Framework for Telerobot Interface and Interaction factors - a case study on medical device manufacturing
Framework of a Neuroergonomic Assessment in Human-Robot Collaboration
A comparative analysis for the evaluation of productivity in human-robot collaboration
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach
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 Stages
On the Construction of Numerical Models through a Prime Convolutional Approach
Decision Making for Process Control Management in Control Rooms: a Survey Methodology and Initial Findings
Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms
Architecture to Acquire EEG Data in Human-Robot Collaboration
Wearable Devices Enhancing Human Capabilities in Direct Enamel Painting Defect Detection
Using Neural Network with Convolution layer for Automatic Quality Inspection
Development of a Neuroergonomic Assessment for the Evaluation of Mental Workload in an Industrial Human-Robot Interaction Assembly Task: A Comparative Case Study
Action Recognition for Human-Robot Teaming: Exploring Mutual Performance Monitoring Possibilities
Understanding and Quantifying Human Factors in Programming from Demonstration: A User Study Proposal
Toward Unbiased High-Quality Portraits Through Latent-Space Evaluation
Defect Detection in Vehicle Painting: Case Study
Wearable Technology and Machine Learning for Assessing Physical Fatigue in Industry 4.0