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Shortest path for K goals

  • Roni Stern
  • , Meir Goldenberg
  • , Ariel Felner
  • Ben-Gurion University of the Negev
  • Jerusalem College of Technology

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

The k-goal problem is a generalization of the Shortest Path Problem (SPP) in which the task is to solve k SPP problems, such that all the problems share the same start vertex. kGP was introduced to the heuristic search community for building an Incremental Roadmap Spanner technique (Dobson and Bekris 2014), which is a useful construct in motion plannin for robotics. But kGP has many other applications, e.g., when path planning for multiple drones flying from a central dispatcher location to k target locations.

Original languageEnglish
Pages167-168
Number of pages2
DOIs
StatePublished - 2017
Externally publishedYes
Event10th Annual Symposium on Combinatorial Search, SoCS 2017 - Pittsburgh, United States
Duration: 16 Jun 201717 Jun 2017

Conference

Conference10th Annual Symposium on Combinatorial Search, SoCS 2017
Country/TerritoryUnited States
CityPittsburgh
Period16/06/1717/06/17

Bibliographical note

Publisher Copyright:
Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Funding

Acknowledgments. Financial support for this research was in part provided by Israel Science Foundation (ISF) grant #417/13 and by the Cyber Security Research Center at Ben-Gurion University.

FundersFunder number
Israel Science Foundation417/13

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