A Robust Planning Algorithm for Groups of Entities in Discrete Spaces

Automated planning is a well-established field of artificial intelligence (AI), with applications in route finding, robotics and operational research, among others. The task of developing a plan is often solved by finding a path in a graph representing the search domain; a robust plan consists of nu...

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Main Authors: Igor Wojnicki, Sebastian Ernst, Wojciech Turek
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/17/8/5422
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author Igor Wojnicki
Sebastian Ernst
Wojciech Turek
author_facet Igor Wojnicki
Sebastian Ernst
Wojciech Turek
author_sort Igor Wojnicki
collection DOAJ
description Automated planning is a well-established field of artificial intelligence (AI), with applications in route finding, robotics and operational research, among others. The task of developing a plan is often solved by finding a path in a graph representing the search domain; a robust plan consists of numerous paths that can be chosen if the execution of the best (optimal) one fails. While robust planning for a single entity is rather simple, development of a robust plan for multiple entities in a common environment can lead to combinatorial explosion. This paper proposes a novel hybrid approach, joining heuristic search and the wavefront algorithm to provide a plan featuring robustness in areas where it is needed, while maintaining a low level of computational complexity.
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spelling doaj.art-843ab729b0a746cc887a3edfbb969c542022-12-22T02:19:49ZengMDPI AGEntropy1099-43002015-07-011785422543610.3390/e17085422e17085422A Robust Planning Algorithm for Groups of Entities in Discrete SpacesIgor Wojnicki0Sebastian Ernst1Wojciech Turek2AGH University of Science and Technology, Al. Mickiewicza 30, Kraków, 30-059, PolandAGH University of Science and Technology, Al. Mickiewicza 30, Kraków, 30-059, PolandAGH University of Science and Technology, Al. Mickiewicza 30, Kraków, 30-059, PolandAutomated planning is a well-established field of artificial intelligence (AI), with applications in route finding, robotics and operational research, among others. The task of developing a plan is often solved by finding a path in a graph representing the search domain; a robust plan consists of numerous paths that can be chosen if the execution of the best (optimal) one fails. While robust planning for a single entity is rather simple, development of a robust plan for multiple entities in a common environment can lead to combinatorial explosion. This paper proposes a novel hybrid approach, joining heuristic search and the wavefront algorithm to provide a plan featuring robustness in areas where it is needed, while maintaining a low level of computational complexity.http://www.mdpi.com/1099-4300/17/8/5422artificial intelligenceheuristic searchautomated planningroboticsmulti-entity coordination
spellingShingle Igor Wojnicki
Sebastian Ernst
Wojciech Turek
A Robust Planning Algorithm for Groups of Entities in Discrete Spaces
Entropy
artificial intelligence
heuristic search
automated planning
robotics
multi-entity coordination
title A Robust Planning Algorithm for Groups of Entities in Discrete Spaces
title_full A Robust Planning Algorithm for Groups of Entities in Discrete Spaces
title_fullStr A Robust Planning Algorithm for Groups of Entities in Discrete Spaces
title_full_unstemmed A Robust Planning Algorithm for Groups of Entities in Discrete Spaces
title_short A Robust Planning Algorithm for Groups of Entities in Discrete Spaces
title_sort robust planning algorithm for groups of entities in discrete spaces
topic artificial intelligence
heuristic search
automated planning
robotics
multi-entity coordination
url http://www.mdpi.com/1099-4300/17/8/5422
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