Curate, Connect, Inquire: A System for Findable Accessible Interoperable and Reusable (FAIR) Human-Robot Centered Datasets

--The rapid growth of AI in robotics has amplified the need for high-quality, reusable datasets, particularly in human-robot interaction (HRI) and AI-embedded robotics. While more robotics datasets are being created, the landscape of open data in the field is uneven. This is due to a lack of curation standards and consistent publication practices, which makes it difficult to discover, access, and reuse robotics data. T o address these challenges, this paper presents a curation and access system with two main contributions: (1) a structured methodology to curate, publish, and integrate F AIR (Findable, Accessible, Interoperable, Reusable) human-centered robotics datasets; and (2) a ChatGPT -powered conversational interface trained with the curated datasets metadata and documentation to enable exploration, comparison robotics datasets and data retrieval using natural language. Developed based on practical experience curating datasets from robotics labs within T exas Robotics at the University of T exas at Austin, the system demonstrates the value of standardized curation and persistent publication of robotics data. The system's evaluation suggests that access and understandability of human-robotics data are significantly improved. This work directly aligns with the goals of the HCRL @ ICRA 2025 workshop and represents a step towards more human-centered access to data for embodied AI. I. INTRODUCTION The rise of AI-embedded robotics has made the need for high-quality datasets for varied training applications critical. In response, researchers are increasingly creating datasets specifically for usage in AI applications. Derived from complex and often interdisciplinary studies using mixed research methods, these often large and multimodal datasets reflect both the robots' and the humans' perspectives; some gathered in the context of carefully designed experiments and others during observations in the physical world.