OJOx: Specification-Conditioned Demonstrations for Embodied AI in Construction

This work addresses data collection for embodied AI in construction scenarios by incorporating external specifications that give actions their purpose. The research captures egocentric and whole-body human demonstrations while recording the design model configurations that skilled workers target, enabling the system to learn from purpose-driven actions rather than just observable behaviors.