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Entropy 2015, 17(8), 5422-5436; doi:10.3390/e17085422

A Robust Planning Algorithm for Groups of Entities in Discrete Spaces

AGH University of Science and Technology, Al. Mickiewicza 30, Kraków, 30-059, Poland
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Author to whom correspondence should be addressed.
Academic Editor: J. A. Tenreiro Machado
Received: 24 April 2015 / Revised: 23 July 2015 / Accepted: 24 July 2015 / Published: 30 July 2015
(This article belongs to the Section Complexity)
View Full-Text   |   Download PDF [178 KB, uploaded 30 July 2015]   |  

Abstract

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. View Full-Text
Keywords: artificial intelligence; heuristic search; automated planning; robotics; multi-entity coordination artificial intelligence; heuristic search; automated planning; robotics; multi-entity coordination
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wojnicki, I.; Ernst, S.; Turek, W. A Robust Planning Algorithm for Groups of Entities in Discrete Spaces. Entropy 2015, 17, 5422-5436.

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