Author

Dimitrios Chrysostomou

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Open access Aug 2026

A multi-modal model for trust evaluation in industrial human–robot collaboration

Industry 5.0 promotes collaborative manufacturing environments where humans and robots work together, leveraging their complementary strengths to improve productivity and safety. In such settings, trust is fundamental to ensuring seamless and effective interaction. As intelligent robots take on more complex roles, syst...

Giulio Campagna, Dimitrios Chrysostomou, Matthias Rehm · Intelligent Service Robotics · 0 citations

Open access 2026

How to Train for Industry 5.0? A Comparative Study of Training Strategies for Novice Operators of Collaborative Robots

As Industry 5.0 emphasizes a human-centric manufacturing paradigm, effective training of operators for Human-Robot Collaboration is increasingly important. This study compares three pedagogically distinct training strategies, namely Imitation Learning, Cognitive Apprenticeship, and Self-Regulated Learning, to evaluate...

Giulio Campagna, Dimitrios Chrysostomou, A. Lassen · IEEE Transactions on Automat... · 0 citations

#artificial intelligence Preprint Sep 2026

IRWOZ 2.0: A Large Language Model-driven Dialogue Dataset for Industrial Robot Conversations

This work introduces IRWOZ 2.0, which addresses limitations through large language model (LLM) enhanced generation (Mistral/Claude-3.5) and quality refinements and expands the dataset to 390 dialogues across 4 industrial domains, featuring manual corrections and automated typo removal.

Chen Li, Dimitrios Chrysostomou · 0 citations