AI4WORK |material
PUBLICATIONS
AI4Work Project: Human-Centric Digital Twin Approaches to Trustworthy AI and Robotics for Improved Working Conditions in Healthcare and Education Sectors
Adaptive Human-Robot Collaborative Missions using Hybrid Task Planning
An Ontology Framework for Human-Robot Interoperability in Dynamic Construction Environments
AI4Work Project: Human-Centric Digital Twin Approaches to Trustworthy AI and Robotics for Improved Working Conditions in Healthcare and Education Sectors
A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements
Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation
An Overview of Tools and Technologies for Anxiety and Depression Management Using AI
Exploration of core concepts required for mid- and domain-level ontology development to facilitate explainable-AI-readiness of data and models
Manufacturing workers fatigue: an exploratory study on predictive machine learning and cross-subject generalization with implications for work design
KGA “XAIR principles” WG – M10 deliverable: Synopsis of core concepts for explainable-AI-ready data and models
Students’ Burnout Symptoms Detection Using Smartwatch Wearable Devices: A Systematic Literature Review
Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation
Context Aware Sliding Work Sharing for Human-AI Collaboration in Logistics Domain
A Recommendation System for Stress Management at the Workplace Using RAG-Based LLM
Enabling interoperable human-AI teaming for automation in construction and manufacturing via Digital Twins and Sliding Work Sharing ontologies
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
A Cross-Sector Framework For Explainable Artificial Intelligence (XAI) Through Co-Creation
Design and Implementation of a Platform for Managing Stress and Anxiety in Higher Education Based on Wearable Devices
Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs
Design and Implementation of a Platform for Managing Stress and Anxiety in Higher Education Based on Wearable Devices
Accelerating Policy Synthesis in Large-Scale MDPs via Hierarchical Adaptive Refinement
Analyzing ethical challenges of artificial intelligence in healthcare under high uncertainty based on a novel multi-criteria group decision analysis using interval-valued q-rung orthopair fuzzy information.
Interleaving Scheduling and Motion Planning with Incremental Learning of Symbolic Space-Time Motion Abstractions