Fostering Robots: A Governance-First Conceptual Framework for Domestic, Curriculum-Based Trajectory Collection

Pablo-Marti, Federico, Fernandez, Carlos Mir

arXiv.org Artificial Intelligence 

We propose a conceptual, empirically testable framework for Robot Fostering, -a curriculum-driven, governance-first approach to domestic robot deployments, emphasizing long-term, curated interaction trajectories. We formalize trajectory quality with quantifiable metrics and evaluation protocols aligned with EU-grade governance standards, delineating a low-resource empirical roadmap to enable rigorous validation through future pilot studies.

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