Simulation of Autonomous Robotic System for Intelligence and Reconnaissance Operations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148494" target="_blank" >RIV/00216305:26220/23:PU148494 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-31268-7_4" target="_blank" >https://link.springer.com/chapter/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>
Alternative languages
Result language
angličtina
Original language name
Simulation of Autonomous Robotic System for Intelligence and Reconnaissance Operations
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/VJ02010036" target="_blank" >VJ02010036: An Artificial Intelligence-Controlled Robotic System for Intelligence and Reconnaissance Operations</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Modelling and Simulation for Autonomous Systems
ISBN
978-3-031-31268-7
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
64-73
Publisher name
Springer, Cham
Place of publication
neuveden
Event location
Prague
Event date
Oct 20, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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