Simulation of Autonomous Robotic System for Intelligence and Reconnaissance Operations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F25%3A00560164" target="_blank" >RIV/60162694:G43__/25:00560164 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-031-31268-7_4" target="_blank" >http://dx.doi.org/10.1007/978-3-031-31268-7_4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-31268-7_4" target="_blank" >10.1007/978-3-031-31268-7_4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Simulation of Autonomous Robotic System for Intelligence and Reconnaissance Operations

Popis výsledku v původním jazyce

This paper examines the possibilities of realistic simulations of robotic systems employed for intelligence and reconnaissance operations in the outdoor environment. Including simulation into the development process accelerates and facilitates testing, verification, and evaluation of algorithms, and prevents potential damage of expensive hardware. To achieve fast and flexible development, we utilize a widely used Robotic Operating System (ROS) framework, which, together with Gazebo simulator, enables to deploy robots and test algorithms in both real-world and simulation. Gazebo supports a wide range of customization options, including the creation of own worlds, robots, and sensors. Moreover, the solution allows to deploy a multiple heterogenous robots within one simulation instance to test cooperative missions. To demonstrate the potential of this simulation concept for intelligence operations, we introduce a scenario involving several flying and terrestrial robots during a Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) mission comprising a radiation source search. For this purpose, we deployed realistic robotic platforms into the aerial photogrammetry-based 3D world, and, above all, we improved the standard radiation plugin to collect credible data. The results indicate that the concept fulfills requirements for intelligence and reconnaissance robotic operation simulation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Název v anglickém jazyce

Simulation of Autonomous Robotic System for Intelligence and Reconnaissance Operations

Popis výsledku anglicky

This paper examines the possibilities of realistic simulations of robotic systems employed for intelligence and reconnaissance operations in the outdoor environment. Including simulation into the development process accelerates and facilitates testing, verification, and evaluation of algorithms, and prevents potential damage of expensive hardware. To achieve fast and flexible development, we utilize a widely used Robotic Operating System (ROS) framework, which, together with Gazebo simulator, enables to deploy robots and test algorithms in both real-world and simulation. Gazebo supports a wide range of customization options, including the creation of own worlds, robots, and sensors. Moreover, the solution allows to deploy a multiple heterogenous robots within one simulation instance to test cooperative missions. To demonstrate the potential of this simulation concept for intelligence operations, we introduce a scenario involving several flying and terrestrial robots during a Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) mission comprising a radiation source search. For this purpose, we deployed realistic robotic platforms into the aerial photogrammetry-based 3D world, and, above all, we improved the standard radiation plugin to collect credible data. The results indicate that the concept fulfills requirements for intelligence and reconnaissance robotic operation simulation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/VJ02010036" target="_blank" >VJ02010036: Robotický systém řízený algoritmy umělé inteligence pro zpravodajské a průzkumné účely</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

9th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2022

ISBN

978-3-031-31267-0

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

10

Strana od-do

64-73

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

—

Místo konání akce

Praha

Datum konání akce

20. 10. 2022

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

001427115700004