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Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks. (arXiv:2207.09083v1 [cs.RO])
July 20, 2022, 1:12 a.m. | Motonari Kambara, Komei Sugiura
cs.CV updates on arXiv.org arxiv.org
Domestic service robots that support daily tasks are a promising solution for
elderly or disabled people. It is crucial for domestic service robots to
explain the collision risk before they perform actions. In this paper, our aim
is to generate a caption about a future event. We propose the Relational Future
Captioning Model (RFCM), a crossmodal language generation model for the future
captioning task. The RFCM has the Relational Self-Attention Encoder to extract
the relationships between events more effectively than …
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