A novel scenario of task planning for multi-robot collaboration system

Zhiguo Shi*, Kaihang Hu, Jun Tu, Zhiliang Wang, Junming Wei

*Corresponding author for this work

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

    1 Citation (Scopus)

    Abstract

    The paper carefully elaborates the current research of the mission planning for multi-robot system in foreign countries. Then introducing a novel method of mission planning which includes task decomposition and task allocation. Tasks divide into decomposable and non-decomposable, only to meet certain conditions, which is decomposable; necessary and sufficient conditions for decomposability of a task with respect to parallel composition and natural projections. This paper mainly researches on the decomposable task and introduces four decomposability conditions. In addition, the task allocation introduced is based on reputation, which is gained from the evaluation of the completion of historical tasks. Task attempts to be assigned to the robot with relatively higher reputation, which can greatly improve the success rate of its mandate implementation. Finally, simulation and experiment's results have shown that the model can be used in a multi-robot collaboration system, and has good efficiency.

    Original languageEnglish
    Title of host publicationWCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
    Pages3770-3775
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China
    Duration: 6 Jul 20128 Jul 2012

    Publication series

    NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

    Conference

    Conference10th World Congress on Intelligent Control and Automation, WCICA 2012
    Country/TerritoryChina
    CityBeijing
    Period6/07/128/07/12

    Fingerprint

    Dive into the research topics of 'A novel scenario of task planning for multi-robot collaboration system'. Together they form a unique fingerprint.

    Cite this