Audio signalling as a backup communication channel for multi-robot systems

Suddrey, Gavin, Gariano, Pearl, Cunningham-Nelson, Sam, Richards, Daniel, & Maire, Frederic (2014) Audio signalling as a backup communication channel for multi-robot systems. In Oetomo, Denny (Ed.) Proceedings of Australiasian Conference on Robotics and Automation, Australian Robotic and Automation Association, The University of Melbourne, Melbourne, VIC.

Abstract

This paper presents a low-bandwidth multi-robot communication system designed to serve as a backup communication channel in the event a robot suffers a network device fault. While much research has been performed in the area of distributing network communication across multiple robots within a system, individual robots are still susceptible to hardware failure. In the past, such robots would simply be removed from service, and their tasks re-allocated to other members. However, there are times when a faulty robot might be crucial to a mission, or be able to contribute in a less communication intensive area. By allowing robots to encode and decode messages into unique sequences of DTMF symbols, called words, our system is able to facilitate continued low-bandwidth communication between robots without access to network communication. Our results have shown that the system is capable of permitting robots to negotiate task initiation and termination, and is flexible enough to permit a pair of robots to perform a simple turn taking task.

Impact and interest:

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ID Code: 78570
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Multi-Robot Communication, Communication Robustness, DTMF Communication
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Australian Robotic and Automation Association
Deposited On: 21 Jan 2015 03:23
Last Modified: 24 Jan 2015 04:57

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