With robotics rapidly advancing, more effective human–robot interaction is increasingly
needed to realize the full potential of robots for society. While spoken language must be part of …

We investigate whether Amazon's Mechanical Turk (MTurk) service can be used as a
reliable method for transcription of spoken language data. Utterances with varying speaker …

Even without speech recognition errors, robots may face difficulties interpreting natural-language
instructions. We present a method for robustly handling miscommunication between …

Recent years have seen increasing interest in automatic metrics for the evaluation of
generation systems. When a system can generate syntactic variation, automatic evaluation …

Our overall program objective is to provide more natural ways for soldiers to interact and
communicate with robots, much like how soldiers communicate with other soldiers today. We …

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

Human-robot interaction could be improved by designing robots that engage in adaptive
dialogue with users. An adaptive robot could estimate the information needs of individuals and …

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

How should a robot represent and reason about spatial information when it needs to
collaborate effectively with a human? The form of spatial representation that is useful for robot …

We describe the adaptation and refinement of a graphical user interface designed to
facilitate a Wizard-of-Oz (WoZ) approach to collecting human-robot dialogue data. The data …