A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
AbstractFuture applications of robotic technologies will involve interactions with non-expert humans as machines will assume the role of companions, teachers or healthcare assistants. In all those tasks social behavior is a key ability that needs to be systematically investigated and modelled at the lowest level, as even a minor inconsistency of the robot's behavior can greatly affect the way humans will perceive it and react to it. Here we propose an integrated architecture for generating adoi:10.1515/pjbr-2015-0010 fatcat:as6uqd3yvbdmzpumk44dbrofe4