Lingodroids : learning terms for time


Autoria(s): Heath, Scott; Schulz, Ruth; Ball, David; Wiles, Janet
Data(s)

2012

Resumo

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.

Identificador

http://eprints.qut.edu.au/59945/

Relação

DOI:10.1109/ICRA.2012.6225130

Heath, Scott, Schulz, Ruth, Ball, David, & Wiles, Janet (2012) Lingodroids : learning terms for time. In 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), 14-18 May 2012, Saint Paul, MN.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #090000 ENGINEERING #robotics
Tipo

Conference Paper