Setting the task of heterogeneous group interaction of robots in solving smart garden tasks

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The article considers the problem of heterogeneous group interaction of various robotic air and ground-based complexes. It proposes a conceptual model of the distribution of tasks between functionally different robotic complexes, and an appropriate mathematical formulation of the problem with the final functional according to the efficiency criterion, which boils down to the search for options that meet functional criteria. The presented final decision on the structure and functions of the grouping of robotic complexes takes into account the cost function of the entire life cycle of smart garden processing. The paper emphasizes the importance of automation and intellectualization during processing a smart garden, harvesting and reducing the time to perform technological operations, which are devoted to the research of advanced domestic. It discusses the primary data to determine the number and functionality of robotic complexes for solving the complex task of developing a smart garden. The paper highlights the computational experiments and collects typical scenarios for the use of air-based robotic complexes and ground-based robots of various functionality: transporters, collectors, handlers and others. Further research will be aimed at developing specific algorithmic solutions for specific samples of robotic complexes and experimental studies based on polygons, followed by the correction of developed mathematical models for different types of smart gardens and elaboration of technological maps to typify selected behavior scenarios of a heterogeneous group of robotic complexes.

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System analysis, robotics, smart garden, robotic complex, unmanned aerial vehicle, artificial intelligence technologies

Короткий адрес: https://sciup.org/147243213

IDR: 147243213   |   DOI: 10.14529/mmph240204

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