Semi-autonomous Robotic System for Reconnaissance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F17%3A10236406" target="_blank" >RIV/61989100:27230/17:10236406 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/8118540/" target="_blank" >http://ieeexplore.ieee.org/document/8118540/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INES.2017.8118540" target="_blank" >10.1109/INES.2017.8118540</a>
Alternative languages
Result language
angličtina
Original language name
Semi-autonomous Robotic System for Reconnaissance
Original language description
The paper describes a technical solution of a mobile robotic system for initial reconnaissance of an area of emergency events with partially autonomous functions. The paper states current trends in the area of inspectional mobile robotics, sensory subsystems, and the way of processing the data acquired from the similar used systems. The paper provides an overview of the initial state of the robotic system and its identified drawbacks. It describes in detail the proposed and implemented modifications of the robotic system and the way of testing its functionality. A new feature of the modified robotic system is implementation of an Internet of Things (IoT) approach in data processing. The robotic system is proposed in a way that enables it to easily extend with more sensors and functions of the control application.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INES 2017 : proceedings of the 21st international conference on intelligent engineering systems : November 20-23, 2017, Larnaca, Cyprus
ISBN
978-1-4799-7679-9
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
119-124
Publisher name
IEEE
Place of publication
Piscataway
Event location
Larnaca
Event date
Nov 20, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000418333800020