What question did this study set out to answer?

The review aims to explore the role of trust in human-robot collaboration, focusing on explainability and adaptive control mechanisms.

Trust as a design principle in human–robot collaboration: a review of explainable and adaptive control

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This review analyzes the role of trust in human-robot collaboration, suggesting improvements for safer and more effective interaction.

The review aims to explore the role of trust in human-robot collaboration, focusing on explainability and adaptive control mechanisms.
Conducted a systematic review of existing literature on human-robot collaboration.
Examined various aspects, including trust modeling, explainable AI, and adaptive control architectures.
Identified gaps in current research regarding trust evaluation metrics and real-world applications.
Trust is identified as a key factor affecting cooperation between humans and robots.
Highlighted the importance of transparency and adaptability in enhancing trust in collaborative settings.
Revealed significant gaps in standardized metrics and real-world validation efforts.

Elgohr et al. (2026) studied this question.

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