High-fidelity data for embodied agents or multimodal generative agents.
The Aria Digital Twin (ADT) dataset is a multimodal dataset released under Project Aria by Meta Reality Labs. It includes synchronized visual, depth, and sensor data aligned with detailed digital reconstructions of real-world environments. The dataset provides a bridge between physical environments and their digital representations.
ADT is used for research in spatial mapping, localization, and environment understanding. It supports development of AR/VR systems, robotics navigation, and embodied AI models that operate across physical and digital spaces. The dataset enables experiments that require accurate alignment between sensor data and 3D world models.
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