Incrementally learning semantic attributes through dialogue interaction
Enabling a robot to properly interact with users plays a key role in the effective deployment of robotic platforms in domestic environments.
Robots must be able to rely on interaction to improve their behaviour and adaptively understand their operational world.
Semantic mapping is the task of building a representation of the environment, that can be enhanced through interaction with the user. In this task, a proper and effective acquisition of semantic attributes of targeted entities is essential for the task accomplishment itself.