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