Scenarios for Trust Management in Swarm Robotics

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Scenarios for Trust Management in Swarm Robotics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Scenarios for Trust Management in Swarm Robotics

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

9798400705663

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

9-16

Název nakladatele

ACM

Místo vydání

Lisbon, Portugal

Místo konání akce

Lisbon, Portugal

Datum konání akce

1. 1. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001285454300002