Title: Fuzzy methods and eye gaze for cooperative robot communication

Authors: Dingyun Zhu, Tom Gedeon, B. Sumudu U. Mendis

Addresses: School of Computer Science, College of Engineering and Computer Science, The Australian National University, Acton, Canberra, ACT 0200, Australia. ' School of Computer Science, College of Engineering and Computer Science, The Australian National University, Acton, Canberra, ACT 0200, Australia. ' School of Computer Science, College of Engineering and Computer Science, The Australian National University, Acton, Canberra, ACT 0200, Australia

Abstract: We introduce our fuzzy signature and pattern matching with possibility calculation based approach for modelling the communication between human-control robot and a pair of assistant robots for completing cooperative tasks in a simulated environment. We show that a sophisticated extension using computerised recognition of eye gaze with fuzzy modelling based interpretation of possible intentions effectively eliminates the need of any physical control from the human|s side. The experiment results show a good improvement of time saved by the use of our eye gaze intention in the context.

Keywords: cooperative robots; fuzzy signatures; possibility calculation; eye gaze inference; human-robot communication; pattern matching; fuzzy logic; robot simulation; robot cooperation; fuzzy modelling; gaze intention; assistant robots.

DOI: 10.1504/IJIIDS.2010.031761

International Journal of Intelligent Information and Database Systems, 2010 Vol.4 No.1, pp.43 - 59

Received: 30 Sep 2008
Accepted: 16 Feb 2009

Published online: 23 Feb 2010 *

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