Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments

Takanori Ugai; Kensho Hara; Shusaku Egami; Ken Fukuda

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arXiv · 2408.11347

Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments

Takanori Ugai·Kensho Hara·Shusaku Egami·Ken Fukuda

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Abstract

We used a 3D simulator to create artificial video data with standardized annotations, aiming to aid in the development of Embodied AI. Our question answering (QA) dataset measures the extent to which a robot can understand human behavior and the environment in a home setting. Preliminary experiments suggest our dataset is useful in measuring AI's comprehension of daily life. \end{abstract}

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Takanori Ugai, Kensho Hara, Shusaku Egami, Ken Fukuda. 2024-08-21. Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments. https://arxiv.org/abs/2408.11347

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