Evolutionary-learning framework: improving automatic swarm robotics design

Faqihza Mukhlish (School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia)
John Page (School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia)
Michael Bain (School of Computer Science and Engineering, University of New South Wales, Sydney, Australia)

International Journal of Intelligent Unmanned Systems

ISSN: 2049-6427

Publication date: 8 October 2018

Abstract

Purpose

The purpose of this paper is to review the current state of proceedings in the research area of automatic swarm design and discusses possible solutions to advance swarm robotics research.

Design/methodology/approach

First, this paper begins by reviewing the current state of proceedings in the field of automatic swarm design to provide a basic understanding of the field. This should lead to the identification of which issues need to be resolved in order to move forward swarm robotics research. Then, some possible solutions to the challenges are discussed to identify future directions and how the proposed idea of incorporating learning mechanism could benefit swarm robotics design. Lastly, a novel evolutionary-learning framework for swarms based on epigenetic function is proposed with a discussion of its merits and suggestions for future research directions.

Findings

The discussion shows that main challenge which is needed to be resolved is the presence of dynamic environment which is mainly caused by agent-to-agent and agent-to-environment interactions. A possible solution to tackle the challenge is by incorporating learning capability to the swarm to tackle dynamic environment.

Originality/value

This paper gives a new perspective on how to improve automatic swarm design in order to move forward swarm robotics research. Along with the discussion, this paper also proposes a novel framework to incorporate learning mechanism into evolutionary swarm using epigenetic function.

Keywords

Citation

Faqihza Mukhlish, John Page and Michael Bain (2018) "Evolutionary-learning framework: improving automatic swarm robotics design", International Journal of Intelligent Unmanned Systems, Vol. 6 No. 4, pp. 197-215

Download as .RIS

DOI

: https://doi.org/10.1108/IJIUS-06-2018-0016

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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