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

Lenka Pitonakova, Richard Crowder, Seth Bullock

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

8 Citations (Scopus)
257 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 languageEnglish
Title of host publication2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
Subtitle of host publicationProceedings of a meeting held 24-28 September 2017, Vancouver, British Columbia, Canada
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages727-732
Number of pages6
ISBN (Electronic)9781538626825
ISBN (Print)9781538626832
DOIs
Publication statusPublished - Feb 2018

Publication series

Name
ISSN (Print)2153-0866

Fingerprint Dive into the research topics of 'Behaviour-Data Relations Modelling Language For Multi-Robot Control Algorithms'. Together they form a unique fingerprint.

Cite this