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Auction-based multi-agent task assignment in smart logistic center

  • Yu Guo*
  • , Yanjie Li
  • , Yumei Zhang
  • *Corresponding author for this work

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

Abstract

For the task assignment problem in a smart logistic center with many autonomous mobile robots, a task assignment method is proposed based on a market auction idea. Due to the existence of asymmetrical shelf-shift tasks within the center and diverse self-finished cost of each task besides the correlation between tasks, the problem of multi-robot task assignment in a logistic center is different from multi-robot routing problem. By introducing the correlation function and self-finished cost function, the model of task assignment is presented. Then, the bidding strategy is given by analyzing the performance difference. On these bases, an auction approach is developed for the static and dynamic task assignment. Finally, the simulation results show the applicability of the algorithm.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages7487-7492
Number of pages6
ISBN (Electronic)9789881563842
DOIs
StatePublished - 11 Sep 2014
Externally publishedYes
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: 28 Jul 201430 Jul 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

ConferenceProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period28/07/1430/07/14

Keywords

  • Auction strategy
  • Multi-agent task assignment
  • Performance difference
  • Smart logistic center

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