Robots That Use Language
Authors:
Top Cited Papers
- 3 May 2020
- journal article
- research article
- Published by Annual Reviews in Annual Review of Control, Robotics, and Autonomous Systems
- Vol. 3 (1) , 25-55
Abstract
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 the robot's sensors and actuators. This problem differs from other natural language processing domains due to the need to ground the language to noisy percepts and physical actions. Here, we describe central aspects of language use by robots, including understanding natural language requests, using language to drive learning about the physical world, and engaging in collaborative dialogue with a human partner. We describe common approaches, roughly divided into learning methods, logic-based methods, and methods that focus on questions of human–robot interaction. Finally, we describe several application domains for language-using robots.Keywords
This publication has 124 references indexed in Scilit:
- ACT-R/E: An Embodied Cognitive Architecture for Human-Robot InteractionJournal of Human-Robot Interaction, 2013
- Robotic vocabulary building using extension inference and implicit contrastArtificial Intelligence, 2009
- Teachable robots: Understanding human teaching behavior to build more effective robot learnersArtificial Intelligence, 2008
- The fundamental system of spatial schemas in language2005
- A survey of socially interactive robotsRobotics and Autonomous Systems, 2003
- Learning words from sights and sounds: a computational modelCognitive Science, 2002
- Long Short-Term MemoryNeural Computation, 1997
- CYCCommunications of the ACM, 1995
- Computational Interpretations of the Gricean Maxims in the Generation of Referring ExpressionsCognitive Science, 1995
- “What” and “where” in spatial language and spatial cognitionBehavioral and Brain Sciences, 1993