This article surveys the use of natural language in robotics from a robotics point of view. To
use human language, robots must map words to aspects of the physical world, mediated by …

Worker-robot collaboration (WRC) is a promising solution for complex construction tasks,
which can integrate the robots' advantages in strength and accuracy with human ability in …

One important aspect of effective human--robot collaborations is the ability for robots to
adapt quickly to the needs of humans. While techniques like deep reinforcement learning …

Abstract Human-Robot Collaboration (HRC) has shown promise of combining human
workers' flexibility and robot assistants' physical abilities to jointly address the uncertainties …

Assessing robotic architecture for Human-Robot Interaction can be challenging due to the
number of features a robot has to endow to perform an acceptable interaction. While …

In this paper, we present a model set for designing human-robot collaboration (HRC)
experiments. It targets a common scenario in HRC, which is the collaborative assembly of …

This paper addresses the problem of taking into account the feasibility and cost of verbal
communication actions at the task planning level in the context of human-robot interaction …

Natural language processing (NLP) aims at investigating the interactions between agents
and humans, processing and analyzing large amounts of natural language data. Large …

Learning the meaning of language with respect to the physical world in which a robot
operates is a necessary step for shared autonomy systems in which natural language is part …

While grounded language learning, or learning the meaning of language with respect to the
physical world in which a robot operates, is a major area in human-robot interaction studies …