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• W2783208543 abstract "Environmental boundaries, such as the borderline of a forest fire or an oil spill, pose a significant threat for living organisms. Anticipating the dynamics of these phenomena is a potentially life-saving indicator to support efficient and effective evacuations or to dispel the hazard. We propose a decentralized coordination method that allows multiple robots to efficiently sample and predict the behavior of environmental boundaries. Our method does not require a priori information about the boundary dynamics. We validate our proposal through experiments with actual robots. We demonstrate experimentally that our method can estimate and predict non-convex boundaries even with noisy measurements and inaccurate motion actuators." @default.
• W2783208543 created "2018-01-26" @default.
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• W2783208543 date "2017-12-01" @default.
• W2783208543 modified "2023-09-25" @default.
• W2783208543 title "Cooperative prediction of time-varying boundaries with a team of robots" @default.
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• W2783208543 doi "https://doi.org/10.1109/mrs.2017.8250925" @default.
• W2783208543 hasPublicationYear "2017" @default.
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