In order for humans and robots to work effectively together, they need to be able to converse about abilities, goals and achievements. Thus, we are developing an interaction infr...
Terrence Fong, Clayton Kunz, Laura M. Hiatt, Magda...
It has always been difficult for language understanding systems to handle spontaneous speech with satisfactory robustness, primarily due to such problems as the fragments, disflue...
Bor-shen Lin, Berlin Chen, Hsin-Min Wang, Lin-Shan...
This paper describes the NECA MNLG; a fully implemented Multimodal Natural Language Generation module. The MNLG is deployed as part of the NECA system which generates dialogues be...
In this paper, we present a simple and robust Mixed Reality (MR) framework that allows for real-time interaction with Virtual Humans in real and virtual environments under consist...
Arjan Egges, George Papagiannakis, Nadia Magnenat-...
—Natural human-robot interaction requires different and more robust models of language understanding (NLU) than non-embodied NLU systems. In particular, architectures are require...
Rehj Cantrell, Matthias Scheutz, Paul W. Schermerh...