Title :
Lingodroids: Learning terms for time
Author :
Heath, Scott ; Schulz, Ruth ; Ball, David ; Wiles, Janet
Author_Institution :
Sch. of ITEE, Univ. of Queensland, Brisbane, QLD, Australia
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.
Keywords :
human-robot interaction; intelligent robots; natural languages; Lingodroids; human language; language learning robots; natural human conversations; natural language; shared lexicons; Coherence; Games; Mobile robots; Natural languages; Navigation; Robot sensing systems;
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
DOI :
10.1109/ICRA.2012.6225130