A general architecture for robotic swarms

Brookshaw, Iain James (2015) A general architecture for robotic swarms. [Thesis (PhD/Research)]

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Swarms are large groups of simplistic individuals that collectively solve disproportionately complex tasks. Individual swarm agents are limited in perception,
mechanically simple, have no global knowledge and are cheap, disposable and fallible. They rely exclusively on local observations and local communications. A swarm has no centralised control.

These features are typifed by eusocial insects such as ants and termites, who construct nests, forage and build complex societies comprised of primitive agents.

This project created the basis of a general swarm architecture for the control of insect-like robots. The Swarm Architecture is inspired by threshold models
of insect behaviour and attempts to capture the salient features of the hive in a closely defined computer program that is hardware agnostic, swarm size indifferent and intended to be applicable to a wide range of swarm tasks.

This was achieved by exploiting the inherent limitations of swarm agents. Individual insects were modelled as a machine capable only of perception, locomotion and manipulation. This approximation reduced behaviour primitives
to a fixed tractable number and abstracted sensor interpretation. Cooperation was achieved through stigmergy and decisions made via a behaviour threshold model.

The Architecture represents an advance on previous robotic swarms in its generality - swarm control software has often been tied to one task and robot configuration. The Architecture's exclusive focus on swarms, sets it apart from
existing general cooperative systems, which are not usually explicitly swarm orientated.

The Architecture was implemented successfully on both simulated and real-world swarms.

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Item Type: Thesis (PhD/Research)
Item Status: Live Archive
Additional Information: Doctor of Philosophy (PhD) thesis.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Supervisors: Low, Tobias
Date Deposited: 21 Dec 2015 02:46
Last Modified: 21 Dec 2015 02:46
Uncontrolled Keywords: robotic swarms; architecture; robotics; robot cooperation; computer simulation; software; biological models
Fields of Research (2008): 08 Information and Computing Sciences > 0803 Computer Software > 080302 Computer System Architecture
09 Engineering > 0910 Manufacturing Engineering > 091007 Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4612 Software engineering > 461206 Software architecture
40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400707 Manufacturing robotics
URI: http://eprints.usq.edu.au/id/eprint/28242

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