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Multirobot Simultaneous Path Planning and Task Assignment on Graphs with Stochastic Costs

  • Stony Brook University

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

2 Scopus citations

Abstract

Multi-robot task allocation problems where robots have to move to target destinations arises in a number of applications including search and rescue, goods or parts transfer in warehouses. The problem of task allocation, i.e., allocation of robots to target destinations is coupled with the problem of computing a path for the robots to the destination. We consider a situation, where there are static obstacles as well as dynamic obstacles in the environment. We assume that each robot is equipped with a local reactive collision detector and planner to avoid collision with dynamic obstacles. There could be multiple paths that may be available between a robot-destination pair [7]. The cost of travel (like energy consumed, time taken, etc.) is non-deterministic because the robot may have to slow down or stop to avoid moving obstacles.

Original languageEnglish
Title of host publicationInternational Symposium on Multi-Robot and Multi-Agent Systems, MRS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages86-88
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

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