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Behaviour-data relations modelling language for multi-robot control algorithms

Behaviour-data relations modelling language for multi-robot control algorithms
Behaviour-data relations modelling language for multi-robot control algorithms
Designing and representing control algorithms is challenging in swarm robotics, where the collective swarm performance depends on interactions between robots and with their environment. The currently available modeling languages, such as UML, cannot fully express these interactions. We therefore propose a new, Behaviour-Data Relations Modeling Language (BDRML), where robot behaviours and data that robots utilise, as well as relationships between them, are explicitly represented. This allows BDRML to express control algorithms where robots cooperate and share information with each other while interacting with the environment.
swarm, robotics, modeling, algorithms, multi-agentsystems
727-732
IEEE
Pitonakova, Lenka
ef806152-a9c0-4075-806d-c75f0d3f7bbb
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Bullock, Seth
eeb8c2f8-dd55-4ddf-aa8d-24d77b6fe1b3
Pitonakova, Lenka
ef806152-a9c0-4075-806d-c75f0d3f7bbb
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Bullock, Seth
eeb8c2f8-dd55-4ddf-aa8d-24d77b6fe1b3

Pitonakova, Lenka, Crowder, Richard and Bullock, Seth (2017) Behaviour-data relations modelling language for multi-robot control algorithms. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. pp. 727-732 . (doi:10.1109/IROS.2017.8202231).

Record type: Conference or Workshop Item (Paper)

Abstract

Designing and representing control algorithms is challenging in swarm robotics, where the collective swarm performance depends on interactions between robots and with their environment. The currently available modeling languages, such as UML, cannot fully express these interactions. We therefore propose a new, Behaviour-Data Relations Modeling Language (BDRML), where robot behaviours and data that robots utilise, as well as relationships between them, are explicitly represented. This allows BDRML to express control algorithms where robots cooperate and share information with each other while interacting with the environment.

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More information

Accepted/In Press date: 15 June 2017
e-pub ahead of print date: 31 December 2017
Published date: December 2017
Venue - Dates: The 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, Canada, 2017-09-24 - 2017-09-28
Related URLs:
Keywords: swarm, robotics, modeling, algorithms, multi-agentsystems
Learn more about Agents, Interactions & Complexity research Learn more about Electronics & Computer Science research

Identifiers

Local EPrints ID: 415068
URI: http://eprints.soton.ac.uk/id/eprint/415068
DOI: doi:10.1109/IROS.2017.8202231
PURE UUID: 8ba924d0-9b52-4a0f-8e67-a84e756d9c47
ORCID for Lenka Pitonakova: ORCID iD orcid.org/0000-0003-3633-7302

Catalogue record

Date deposited: 25 Oct 2017 16:30
Last modified: 06 Oct 2020 18:26

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Contributors

Author: Lenka Pitonakova ORCID iD
Author: Richard Crowder
Author: Seth Bullock

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