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Area reconnaissance modeling of modular reconnaissance robotic systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F26%3A00560689" target="_blank" >RIV/60162694:G42__/26:00560689 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.sagepub.com/doi/abs/10.1177/15485129231210302" target="_blank" >https://journals.sagepub.com/doi/abs/10.1177/15485129231210302</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/15485129231210302" target="_blank" >10.1177/15485129231210302</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Area reconnaissance modeling of modular reconnaissance robotic systems

  • Original language description

    In terms of deploying forces and assets in different domains, the conduct of contemporary military operations can be characterized as complex. Information obtained from a wide range of sources and sensors is thus a crucial factor influencing the course and outcome of an operation. It must be robust, variably deployable, sustainable long-term, modular, and flexible when performing reconnaissance tasks in the rear of enemy forces or in areas threatened by, for example, chemical, biological, radiological, and/or nuclear (CBRN) threats. This paper describes the requirements of commanders for the capabilities of autonomous modular robotic systems performing reconnaissance tasks to support their units. It characterizes the possibilities of using mathematical-algorithmic models in planning the operation of robotic systems. The computational capabilities of tactical decision support system models are demonstrated on two scenarios for the reconnaissance of an area of interest. The partial calculations of the different parts of the reconnaissance task are performed in a logical sequence. Field tests practically verified the variants of performing reconnaissance tasks by robotic systems. The use of digital terrain and relief models, mathematical-algorithmic models, and variant modeling has increased the efficiency of the planning and deployment of a group of robotic systems in the reconnaissance of an area of interest.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    21100 - Other engineering and technologies

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS

  • ISSN

    1548-5129

  • e-ISSN

    1557-380X

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    17

  • Pages from-to

    503-519

  • UT code for WoS article

    001106287700001

  • EID of the result in the Scopus database

    2-s2.0-85177550387