A behaviour-based optimisation strategy for multi-robot exploration

Gu Fang, Gamini Dissanayake, Haye Lau

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[To efficiently explore an unknown environment with a team of robots, a coordinated strategy that maximises the exploration area is required. This is a difficult optimisation problem, as there may exist many suboptimal solutions. In order to reduce the search space to a region that is near the optimal, a behaviour-based exploration strategy is used to define the region in which an optimal solution can be found. A numerical optimisation technique is then used to find the solution in this region. In particular, the proposed strategy uses a potential-fields technique to obtain a coarse movement direction for each robot. A nonlinear optimisation method is then used to calculate the velocity and angle deviation from the coarse direction to achieve the maximum exploration for each move. Simulation results have shown that the proposed method provides an efficient exploration strategy.]]
    Original languageEnglish
    Title of host publicationProceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, held 1-3 December, 2004, Singapore
    PublisherIEEE
    Number of pages5
    ISBN (Print)0780386450
    Publication statusPublished - 2004
    EventIEEE Conference on Robotics, Automation and Mechatronics -
    Duration: 1 Jan 2004 → …

    Conference

    ConferenceIEEE Conference on Robotics, Automation and Mechatronics
    Period1/01/04 → …

    Keywords

    • mobile robots
    • exploration
    • optimisation
    • nonlinear programming
    • simulation

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