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

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 …

ScoutBot is a dialogue interface to physical and simulated robots that supports collaborative
exploration of environments. The demonstration will allow users to issue unconstrained …

In this paper, we describe the development of symbolic representations annotated on
human–robot dialogue data to make dimensions of meaning accessible to autonomous …

In the real world, autonomous driving agents navigate in highly dynamic environments full of
unexpected situations where pre-trained models are unreliable. In these situations, what is …

To collaborate effectively in physically situated tasks, robots must be able to ground
concepts in natural language to the physical objects in the environment as well as their own …

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 …

The Handbook on Socially Interactive Agents: 20 years of Research on Embodied
Conversational Agents, Intelligent Virtual Agents, Page 1 15 forum! Today’s topic is Socially …

In this paper, we compare two different approaches to language understanding for a human-
robot interaction domain in which a human commander gives navigation instructions to a …

In order to account for the features of situated dialogue, we extend a multi-party, multifloor
dialogue annotation schema so that it uniquely marks turns with language that must be …