- We propose a novel framework for imitation learning that helps a humanoid robot achieve its goal of learning. There are apparent discrepancies in shapes and sizes among humans an...
Woosung Yang, Nak Young Chong, ChangHwan Kim, Bum-...
Abstract. Solutions to the symbol grounding problem, in psychologically plausible cognitive models, have been based on hybrid connectionist/symbolic architectures, on robotic appro...
This paper presents a multi-agent framework designed to simulate synthetic humans that properly balance task oriented and social behaviors. The work presented in this paper focuses...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
We present a new architectural style for synchronous groupware that eases the transition from scenario based modeling to component design, and from component design to distributed ...
Facial expressions are an integral part of Australian Sign Language (Auslan). This paper presents the implementation and integration of facial expression into the Auslan Tuition S...
J. C. Wong, Eun-Jung Holden, Nick Lowe, Robyn A. O...