Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms

Lenka Pitonakova; Richard Crowder; Seth Bullock

doi:10.1109/IROS.2017.8202231

Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms

Lenka Pitonakova
, Richard Crowder
, Seth Bullock

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

12 Citations (Scopus)

414 Downloads (Pure)

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.

Original language	English
Title of host publication	2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
Subtitle of host publication	Proceedings of a meeting held 24-28 September 2017, Vancouver, British Columbia, Canada
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	727-732
Number of pages	6
ISBN (Electronic)	9781538626825
ISBN (Print)	9781538626832
DOIs	https://doi.org/10.1109/IROS.2017.8202231
Publication status	Published - Feb 2018

Publication series

Name
ISSN (Print)	2153-0866

Access to Document

10.1109/IROS.2017.8202231

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at https://ieeexplore.ieee.org/document/8202231 . Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 964 KB

Handle.net

Persistent link

Cite this

Pitonakova, L., Crowder, R., & Bullock, S. (2018). Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017): Proceedings of a meeting held 24-28 September 2017, Vancouver, British Columbia, Canada (pp. 727-732). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IROS.2017.8202231

Pitonakova, Lenka ; Crowder, Richard ; Bullock, Seth. / Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017): Proceedings of a meeting held 24-28 September 2017, Vancouver, British Columbia, Canada. Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 727-732

@inproceedings{5e7deee424ae4adfbb56dfa13d20c923,

title = "Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms",

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.",

author = "Lenka Pitonakova and Richard Crowder and Seth Bullock",

year = "2018",

month = feb,

doi = "10.1109/IROS.2017.8202231",

language = "English",

isbn = "9781538626832",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "727--732",

booktitle = "2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)",

address = "United States",

}

Pitonakova, L, Crowder, R & Bullock, S 2018, Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms. in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017): Proceedings of a meeting held 24-28 September 2017, Vancouver, British Columbia, Canada. Institute of Electrical and Electronics Engineers (IEEE), pp. 727-732. https://doi.org/10.1109/IROS.2017.8202231

Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms. / Pitonakova, Lenka; Crowder, Richard; Bullock, Seth.
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017): Proceedings of a meeting held 24-28 September 2017, Vancouver, British Columbia, Canada. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 727-732.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms

AU - Pitonakova, Lenka

AU - Crowder, Richard

AU - Bullock, Seth

PY - 2018/2

Y1 - 2018/2

N2 - 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.

AB - 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.

U2 - 10.1109/IROS.2017.8202231

DO - 10.1109/IROS.2017.8202231

M3 - Conference Contribution (Conference Proceeding)

SN - 9781538626832

SP - 727

EP - 732

BT - 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Pitonakova L, Crowder R, Bullock S. Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017): Proceedings of a meeting held 24-28 September 2017, Vancouver, British Columbia, Canada. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 727-732 Epub 2017 Dec 14. doi: 10.1109/IROS.2017.8202231

Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms

Abstract

Publication series

Access to Document

Handle.net

Fingerprint

Cite this