Concept of operations development for autonomous and semi-autonomous swarm of robotic vehicles

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)

    Abstract

    As robotic systems become more complex, new tools and methods are required for the design of human-robot interaction. A Concept of operations (ConOps) is a knowledge sharing artefact that help developers in early decision making and in requirement elicitation so that the final product can meet the demands and expectations. We present here an on-going effort to develop a ConOps for autonomous and semi-autonomous swarm of robotic vehicles for safety-critical domains. The ConOps of a robotic system consists of documents, illustrations and animations describing the characteristics and intended usage of proposed and existing system from the viewpoint of their users.
    Original languageEnglish
    Title of host publicationHRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
    PublisherAssociation for Computing Machinery ACM
    Pages179-180
    Number of pages2
    ISBN (Electronic)9781450348850
    ISBN (Print)978-1-4503-4885-0
    DOIs
    Publication statusPublished - 6 Mar 2017
    MoE publication typeA4 Article in a conference publication
    Event2017 ACM/IEEE International Conference on Human-Robot Interaction - Vienna, Austria
    Duration: 6 Mar 20179 Mar 2017

    Conference

    Conference2017 ACM/IEEE International Conference on Human-Robot Interaction
    Abbreviated titleHRI 2017
    CountryAustria
    CityVienna
    Period6/03/179/03/17

    Keywords

    • autonomous
    • concept
    • operations
    • robots
    • swarm
    • vehicles

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  • Cite this

    Laarni, J., Koskinen, H., & Väätänen, A. (2017). Concept of operations development for autonomous and semi-autonomous swarm of robotic vehicles. In HRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (pp. 179-180). Association for Computing Machinery ACM. https://doi.org/10.1145/3029798.3038380