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Scenarios for Trust Management in Swarm Robotics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00138466" target="_blank" >RIV/00216224:14330/24:00138466 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3643663.3643967" target="_blank" >http://dx.doi.org/10.1145/3643663.3643967</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3643663.3643967" target="_blank" >10.1145/3643663.3643967</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Scenarios for Trust Management in Swarm Robotics

  • Original language description

    Many terrestrial and aquatic organisms, such as ants, termites or fish, live in communities that resemble larger and more capable organisms thanks to the delicate coordination of the individuals. Humans benefit from mimicking this coordination in many technological sectors, whether it is the coordinated movement of drones, cars, or robot teaming. With the increasing autonomy and intelligence, multi-robot systems and swarm robots specifically have increasing potential to replace humans in dangerous missions, reacting collaboratively to unprecedented conditions. What if, however, one of the robots decides to sabotage such a collaborative mission? How can we support its peers in detecting an untrustworthy member? This paper identifies and classifies the scenarios of swarm-robot collaboration, which is prone to disruption by an untrustworthy member, and links them to a taxonomy of attacks, for which it highlights the importance of the trust aspect between individual robots across the scenarios. The benefits of trust are presented, discussing its capability to prevent attacks and detect malicious individuals in these types of systems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    6th International Workshop on Robotics Software Engineering, RoSE 2024, co-located with the 46th International Conference on Software

  • ISBN

    9798400705663

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    9-16

  • Publisher name

    ACM

  • Place of publication

    Lisbon, Portugal

  • Event location

    Lisbon, Portugal

  • Event date

    Jan 1, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001285454300002