A collaborative decision making approach for multi-unmanned combat vehicles based on the behaviour tree

Shi Feng, Junqiang Xi*, Cheng Gong, Jianwei Gong, Shengguo Hu, Yuedong Ma

*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

Aiming at the difficulty of effective behaviour decision-making in multi-unmanned combat vehicle systems under complex environments and multi-task conditions, based on analyzing existing unmanned vehicle behaviour decision systems, this paper proposes a multi-unmanned combat vehicle cooperative behaviour decision method based on the behaviour tree. In this paper, we describe the behaviour tree modeling method for a multi-unmanned combat vehicle collaborative behavioural decision system, analyze the general process of behavioural tree modeling, and demonstrate the effectiveness of the method by implementing a multi-unmanned combat vehicle collaborative behavioural decision based on the Robomaster AI robot.

Original languageEnglish
Title of host publicationProceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages395-400
Number of pages6
ISBN (Electronic)9781728180250
DOIs
Publication statusPublished - 27 Nov 2020
Event3rd International Conference on Unmanned Systems, ICUS 2020 - Harbin, China
Duration: 27 Nov 202028 Nov 2020

Publication series

NameProceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020

Conference

Conference3rd International Conference on Unmanned Systems, ICUS 2020
Country/TerritoryChina
CityHarbin
Period27/11/2028/11/20

Keywords

  • Behaviour tree
  • Behavioural decision
  • Combat
  • Multiple unmanned vehicles

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