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Paper WeA01.4

Heath, Scott Christopher (University of Queensland), Schulz, Ruth (The University of Queensland), Ball, David (The University of Queensland), Wiles, Janet (University of Queensland)

Lingodroids: Learning Terms for Time

Scheduled for presentation during the Regular Session "Learning and Adaptation Control of Robotic Systems II" (WeA01), Wednesday, May 16, 2012, 09:15−09:30, Meeting Room 1 (Mini-sota)

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on October 18, 2017

Keywords Learning and Adaptive Systems, Autonomous Agents, Biologically-Inspired Robots

Abstract

For humans and robots to communicate using natural language it is necessary for the robots to develop concepts and associated terms that correspond to the human use of words. Time and space are foundational concepts in human language, and to develop a set of words that correspond to human notions of time and space, it is necessary to take into account the way that they are used in natural human conversations, where terms and phrases such as ‘soon’, ‘in a while’, or ‘near’ are often used. We present language learning robots called Lingodroids that can learn and use simple terms for time and space. In previous work, the Lingodroids were able to learn terms for space. In this work we extend their abilities by adding temporal variables which allow them to learn terms for time. The robots build their own maps of the world and interact socially to form a shared lexicon for location and duration terms. The robots successfully use the shared lexicons to communicate places and times to meet again.

 

 

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