Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks

Domestic service robots (DSRs) that naturally communicate In this paper, we propose the Relational Future Captioning with users to support household tasks are a promising solution Model (RFCM). The RFCM can generate captions that take for elderly or disabled people. DSRs are expected to perform into account the relationship between past events. This is because most tasks autonomously, and so they could damage objects it has a source-target attention structure that generates and themselves. It therefore would be useful if they could explain appropriate captions for future events from the relationships the potential risks associated with their actions through between events. In this structure, the features derived from natural language. However, a DSR's ability to generate natural past clips are used as a source, and the features derived from language explanations is still insufficient.