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Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response: Extended Abstract

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

43 Scopus citations

Abstract

Multiple robotic systems, working together, can provide important solutions to different real-world applications (e.g., disaster response), among which task allocation problems feature prominently. Very few existing decentralized multi-robotic task allocation (MRTA) methods simultaneously offer the following capabilities: Consideration of task deadlines, consideration of robot range and task completion capacity limitations, and allowing asynchronous decision-making under dynamic task spaces. To provision these capabilities, this paper presents a computationally efficient algorithm that involves novel construction and matching of bipartite graphs. Its performance is tested on a multi-UAV flood response application.

Original languageEnglish
Title of host publicationInternational Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-85
Number of pages3
ISBN (Electronic)9781728128764
DOIs
StatePublished - Aug 2019
Event2nd International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019 - New Brunswick, United States
Duration: Aug 22 2019Aug 23 2019

Publication series

NameInternational Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019

Conference

Conference2nd International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019
Country/TerritoryUnited States
CityNew Brunswick
Period08/22/1908/23/19

Keywords

  • Multi-robotic task allocation
  • flood response
  • unmanned aerial vehicles

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