Comparative Study of Algorithms for Frontier based Area Exploration and Slam for Mobile Robots

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F13%3A39897411" target="_blank" >RIV/00216275:25530/13:39897411 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ijcaonline.org/archives/volume77/number8/13417-1086" target="_blank" >http://www.ijcaonline.org/archives/volume77/number8/13417-1086</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5120/13417-1086" target="_blank" >10.5120/13417-1086</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparative Study of Algorithms for Frontier based Area Exploration and Slam for Mobile Robots

Popis výsledku v původním jazyce

Exploration strategies are used to guide mobile robots for map building. Usually, exploration strategies work greedily by evaluating a number of candidate observations on the basis of a utility function and selecting the best one. The core challenge in area exploration is to deploy a large number of robots in an unknown environment, map the environment and establishing an efficient communication between the robots. Simultaneous Localization and Mapping (SLAM) comes in to add more accuracy and heuristicsto the generic area exploration strategies. Addition to SLAM algorithms will improve the performance of the exploration process and map building to a great extend. In this paper a survey of existing approaches in frontier based area exploration and various SLAM algorithms which can be useful for the process of area exploration are discussed.

Název v anglickém jazyce

Comparative Study of Algorithms for Frontier based Area Exploration and Slam for Mobile Robots

Popis výsledku anglicky

Exploration strategies are used to guide mobile robots for map building. Usually, exploration strategies work greedily by evaluating a number of candidate observations on the basis of a utility function and selecting the best one. The core challenge in area exploration is to deploy a large number of robots in an unknown environment, map the environment and establishing an efficient communication between the robots. Simultaneous Localization and Mapping (SLAM) comes in to add more accuracy and heuristicsto the generic area exploration strategies. Addition to SLAM algorithms will improve the performance of the exploration process and map building to a great extend. In this paper a survey of existing approaches in frontier based area exploration and various SLAM algorithms which can be useful for the process of area exploration are discussed.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

International Journal of Computer Applications

ISSN

0975-8887

e-ISSN

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Svazek periodika

77

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

5

Strana od-do

37-42

Kód UT WoS článku

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EID výsledku v databázi Scopus

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