Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00233767" target="_blank" >RIV/68407700:21230/15:00233767 - isvavai.cz</a>
Výsledek na webu
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7138650" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7138650</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TASE.2015.2445780" target="_blank" >10.1109/TASE.2015.2445780</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots
Popis výsledku v původním jazyce
In autonomous multirobot systems one of the concerns is how to prevent collisions between the individual robots. One approach to this problem involves finding coordinated trajectories from start to destination for all the robots and then letting the robots follow the preplanned coordinated trajectories. A widely used practical method for finding such coordinated trajectories is ?classical? prioritized planning, where robots plan sequentially one after another. This method has been shown to be effectivein practice, but it is incomplete (i.e., there are solvable problem instances that the algorithm fails to solve) and it has not yet been formally analyzed under what circumstances is the method guaranteed to succeed. Further, prioritized planning is a centralized algorithm, which makes the method unsuitable for decentralized multirobot systems. The contributions of this paper are: a) an adapted version of classical prioritized planning called revised prioritized planning with a formal ch
Název v anglickém jazyce
Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots
Popis výsledku anglicky
In autonomous multirobot systems one of the concerns is how to prevent collisions between the individual robots. One approach to this problem involves finding coordinated trajectories from start to destination for all the robots and then letting the robots follow the preplanned coordinated trajectories. A widely used practical method for finding such coordinated trajectories is ?classical? prioritized planning, where robots plan sequentially one after another. This method has been shown to be effectivein practice, but it is incomplete (i.e., there are solvable problem instances that the algorithm fails to solve) and it has not yet been formally analyzed under what circumstances is the method guaranteed to succeed. Further, prioritized planning is a centralized algorithm, which makes the method unsuitable for decentralized multirobot systems. The contributions of this paper are: a) an adapted version of classical prioritized planning called revised prioritized planning with a formal ch
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
IN - Informatika
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/GA13-22125S" target="_blank" >GA13-22125S: Deterministické doménově nezávislé multi-agentní plánování</a><br>
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN
1545-5955
e-ISSN
—
Svazek periodika
12/3
Číslo periodika v rámci svazku
June
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
15
Strana od-do
835-849
Kód UT WoS článku
000358585200007
EID výsledku v databázi Scopus
2-s2.0-84937717971