Beyond current conversational chatbots or task-oriented dialogue systems that have
attracted increasing attention, we move forward to develop a dialogue system for automatic …

This paper describes a schema that enriches Abstract Meaning Representation (AMR) in
order to provide a semantic representation for facilitating Natural Language Understanding …

Dialogue-based human-AI collaboration can revolutionize collaborative problem-solving,
creative exploration, and social support. To realize this goal, the development of automated …

Robots are uniquely suited to performing dull, dirty, or dangerous tasks that can complement
and enhance the work that humans do. As a result, they are increasingly needed to serve as …

In this research, we begin to tackle the challenge of natural language understanding (NLU)
in the context of the development of a robot dialogue system. We explore the adequacy of …

This paper presents a research platform that supports spoken dialogue interaction with
multiple robots. The demonstration showcases our crafted MultiBot testing scenario in which …

Developing a Socially Interactive Agent (SIA) with the goal of simulating complex human
behavior in all of its intricacies and nuances is a daunting undertaking. It requires not only in …

The demand for multimodal dialogue systems has been rising in various domains,
emphasizing the importance of interpreting multimodal inputs from conversational and …

We present a dialogue system based on statistical classification which was used to
automate human-robot dialogue in a collaborative navigation domain. The classifier was …

Prior work in natural-language-driven navigation demonstrates success in systems
deployed in synthetic environments or applied to large datasets, both real and synthetic …