Research Output

A Multirobot Cooperative Area Coverage Search Algorithm Based on Bioinspired Neural Network in Unknown Environments

  This article proposes a novel approach based on a bioinspired neural network (BIN) for multirobot area coverage search in unknown environments. We obtain the dynamic environment information in the search process of the multirobot by combining the BIN model with the grid map. We, then, design a search objective function to guide robots to explore the task area by applying the distributed model prediction control policy. Moreover, we further improve the search efficiency through a collaborative decision-making mechanism among robots. Finally, we conduct simulation studies, which demonstrate the effectiveness and superiority of the proposed approach.

  • Type:

    Article

  • Date:

    30 August 2022

  • Publication Status:

    In Press

  • Publisher

    Institute of Electrical and Electronics Engineers (IEEE)

  • DOI:

    10.1109/jsyst.2022.3198712

  • Cross Ref:

    10.1109/jsyst.2022.3198712

  • ISSN:

    1932-8184

  • Funders:

    National Natural Science Foundation of China

Citation

Chen, B., Zhang, W., Zhang, F., Liu, Y., & Yu, H. (in press). A Multirobot Cooperative Area Coverage Search Algorithm Based on Bioinspired Neural Network in Unknown Environments. IEEE Systems Journal, https://doi.org/10.1109/jsyst.2022.3198712

Authors

Keywords

Area coverage search, bioinspired neural network (BIN), multirobot, unknown environments

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