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SOCIAL POTENTIAL MODEL TO SIMULATE EMERGENT BEHAVIOUR FOR SWARM ROBOTS

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Last updated: 04 Jan 2025

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Abstract

ABSTRACT
Swarm robotics has a wide range of applications in numerous fields from space and subsea
exploration to the deployment of teams of interacting artificial agents in disposal
systems. In this paper, we introduce a model to simulate the emergent behaviour of multiagent
robot systems, based on principles from physical mechanics. The model is based on
mutual interactions among the swarm individuals. The main elements of these interactions
are repulsion forces, attraction forces, alignment forces and dissipative forces generated
by the swarm members. Using statistical tools, which are used to investigate simulated
group behaviour, we discuss the importance of introducing some dissipation to the system
as well as the effect of the interaction parameters on various components of the model.

DOI

10.21608/amme.2008.39289

Keywords

Robotics, Swarm robots, Emergent behaviour

Authors

First Name

MABROUK

Last Name

H.

MiddleName

M.

Affiliation

PhD research student, Dept. of Mechanical Engineering, University of Strathclyde, Glasgow, UK.

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Orcid

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First Name

MCINNES

Last Name

R

MiddleName

C.

Affiliation

Professor, Dept. of Mechanical Engineering, University of Strathclyde, Glasgow, UK.

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Volume

13

Article Issue

13th International Conference on Applied Mechanics and Mechanical Engineering.

Related Issue

6264

Issue Date

2008-05-01

Receive Date

2019-07-07

Publish Date

2008-05-01

Page Start

33

Page End

47

Print ISSN

2636-4352

Online ISSN

2636-4360

Link

https://amme.journals.ekb.eg/article_39289.html

Detail API

https://amme.journals.ekb.eg/service?article_code=39289

Order

51

Type

Original Article

Type Code

831

Publication Type

Journal

Publication Title

The International Conference on Applied Mechanics and Mechanical Engineering

Publication Link

https://amme.journals.ekb.eg/

MainTitle

SOCIAL POTENTIAL MODEL TO SIMULATE EMERGENT BEHAVIOUR FOR SWARM ROBOTS

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Article

Created At

22 Jan 2023