We demonstrate how combining the reasoning components
from two existing systems designed for human-robot joint action
produces an integrated system with greater capabilities than either
of the individual systems. One of the systems supports primarily
non-verbal interaction and uses dynamic neural fields to infer the
user’s goals and to suggest appropriate system responses; the other
emphasises natural-language interaction and uses a dialogue manager
to process user input and select appropriate system responses.
Combining these two methods of reasoning results in a robot that is
able to coordinate its actions with those of the user while employing
a wide range of verbal and non-verbal communicative actions.(undefined
