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An approach to sorting swarm robots to optimize performance

An approach to sorting swarm robots to optimize performance
An approach to sorting swarm robots to optimize performance
Swarm robotic systems can offer many advantages including robustness, flexibility and scalability. However one of the issues relating to overall swarm performance that needs to be considered is hardware variations inherent in the implementation of individual swarm robots. This variation can bring behavioral diversity within the swarm, resulting in uncontrollable swarm behaviors, low efficiency, etc. If swarm robots could be separated by behaviors, operational advantages could be obtained. In this paper we report an approach to the sorting of large robotic swarms using an approach inspired by chromatography. Hence the tedious and expensive calibration process can be avoided. The results investigate the influence of the internal control parameters, together with environmental effects on the robotic behavioral sorting. We concluded that if the robot has knowledge of previous events coupled with a specific arena pattern density will offer improved behavioral sorting.
American Society Of Mechanical Engineers (ASME)
Shang, Beining
bf2c1a53-dc96-4237-87f0-793f6078da44
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Zauner, Klaus-Peter
c8b22dbd-10e6-43d8-813b-0766f985cc97
Shang, Beining
bf2c1a53-dc96-4237-87f0-793f6078da44
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Zauner, Klaus-Peter
c8b22dbd-10e6-43d8-813b-0766f985cc97

Shang, Beining, Crowder, Richard and Zauner, Klaus-Peter (2016) An approach to sorting swarm robots to optimize performance. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2016). vol. 5A, American Society Of Mechanical Engineers (ASME). 8 pp . (doi:10.1115/DETC2016-59984).

Record type: Conference or Workshop Item (Paper)

Abstract

Swarm robotic systems can offer many advantages including robustness, flexibility and scalability. However one of the issues relating to overall swarm performance that needs to be considered is hardware variations inherent in the implementation of individual swarm robots. This variation can bring behavioral diversity within the swarm, resulting in uncontrollable swarm behaviors, low efficiency, etc. If swarm robots could be separated by behaviors, operational advantages could be obtained. In this paper we report an approach to the sorting of large robotic swarms using an approach inspired by chromatography. Hence the tedious and expensive calibration process can be avoided. The results investigate the influence of the internal control parameters, together with environmental effects on the robotic behavioral sorting. We concluded that if the robot has knowledge of previous events coupled with a specific arena pattern density will offer improved behavioral sorting.

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IDETC_2016_59984_beining_final.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 25 May 2016
e-pub ahead of print date: 21 August 2016
Venue - Dates: ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC2016), Charlotte, United States, 2016-01-01 - 2016-08-23
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 397045
URI: http://eprints.soton.ac.uk/id/eprint/397045
PURE UUID: d65b3064-aadc-4e49-bfb8-4efc9841713a

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Date deposited: 20 Jun 2016 10:25
Last modified: 06 Oct 2020 17:30

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