The Grid-Based Path Planning competition: 2014 entries and results

Nathan R. Sturtevant, Jason Traish, James Tulip, Tansel Uras, Sven Koenig, Ben Strasser, Adi Botea, Daniel Harabor, Steve Rabin

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

16 Citations (Scopus)

Abstract

The Grid-Based Path Planning Competition has just completed its third iteration. The entries used in the competition have improved significantly during this time, changing the view of the state of the art of grid-based pathfinding. Furthermore, the entries from the competition have been made publicly available, improving the ability of researchers to compare their work. This paper summarizes the entries to the 2014 competition, presents the 2014 competition results, and talks about what has been learned and where there is room for improvement.

Original languageEnglish
Title of host publicationProceedings of the Eighth Annual Symposium on Combinatorial Search, SoCS 2015
Subtitle of host publication11-13 June 2015 Ein Gedi, Israel
EditorsAriel Felner, Solomon Eyal Shimony
Place of PublicationPalo Alto CA USA
PublisherAssociation for the Advancement of Artificial Intelligence (AAAI)
Pages241-251
Number of pages11
ISBN (Electronic)9781577357322
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventAnnual Symposium on Combinatorial Search 2015 - Ein Gedi, Israel
Duration: 11 Jun 201513 Jun 2015
Conference number: 8th
http://www.ise.bgu.ac.il/socs2015/

Conference

ConferenceAnnual Symposium on Combinatorial Search 2015
Abbreviated titleSoCS 2015
CountryIsrael
CityEin Gedi
Period11/06/1513/06/15
Internet address

Cite this

Sturtevant, N. R., Traish, J., Tulip, J., Uras, T., Koenig, S., Strasser, B., Botea, A., Harabor, D., & Rabin, S. (2015). The Grid-Based Path Planning competition: 2014 entries and results. In A. Felner, & S. Eyal Shimony (Eds.), Proceedings of the Eighth Annual Symposium on Combinatorial Search, SoCS 2015: 11-13 June 2015 Ein Gedi, Israel (pp. 241-251). Association for the Advancement of Artificial Intelligence (AAAI). https://doi.org/10.1609/aimag.v35i3.2547