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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">novtexmech</journal-id><journal-title-group><journal-title xml:lang="ru">Мехатроника, автоматизация, управление</journal-title><trans-title-group xml:lang="en"><trans-title>Mekhatronika, Avtomatizatsiya, Upravlenie</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1684-6427</issn><issn pub-type="epub">2619-1253</issn><publisher><publisher-name>Commercial Publisher «New Technologies»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17587/mau.24.33-45</article-id><article-id custom-type="elpub" pub-id-type="custom">novtexmech-1308</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>РОБОТЫ, МЕХАТРОНИКА И РОБОТОТЕХНИЧЕСКИЕ СИСТЕМЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ROBOT, MECHATRONICS AND ROBOTIC SYSTEMS</subject></subj-group></article-categories><title-group><article-title>Планирование движения наземных роботов в среде с препятствиями: алгоритмы построения траекторий в группе при заданном шаблоне</article-title><trans-title-group xml:lang="en"><trans-title>Algorithms for Path Planning in a Group of Mobile Robots in an Environment with Obstacles with a Given Template</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Костюков</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kostjukov</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>канд. техн. наук, ст. науч. сотр</p><p>г. Ростов-на-Дону</p></bio><bio xml:lang="en"><p>Rostov-on-Don</p></bio><email xlink:type="simple">wkost-einheit@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Медведев</surname><given-names>М. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Medvedev</surname><given-names>M. Y.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д-р техн. наук, вед. науч. сотр</p><p>г. Ростов-на-Дону</p></bio><bio xml:lang="en"><p>Rostov-on-Don</p></bio><email xlink:type="simple">medvmihal@sfedu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пшихопов</surname><given-names>В. Х.</given-names></name><name name-style="western" xml:lang="en"><surname>Pshikhopov</surname><given-names>V. Kh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д-р техн. наук, гл. науч. сотр.</p><p>г. Ростов-на-Дону</p></bio><bio xml:lang="en"><p>Rostov-on-Don</p></bio><email xlink:type="simple">pshichop@rambler.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Южный федеральный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Southern Federal University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>12</day><month>01</month><year>2023</year></pub-date><volume>24</volume><issue>1</issue><fpage>33</fpage><lpage>45</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Commercial Publisher «New Technologies», 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Commercial Publisher «New Technologies»</copyright-holder><copyright-holder xml:lang="en">Commercial Publisher «New Technologies»</copyright-holder><license xlink:href="https://mech.novtex.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://mech.novtex.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://mech.novtex.ru/jour/article/view/1308">https://mech.novtex.ru/jour/article/view/1308</self-uri><abstract><p>Предлагается метод решения задачи планирования движения группы наземных робототехнических платформ (РТП) с требованием поддержания заданного шаблона строя при наличии стационарных препятствий и источников возмущений. Выделяется задача построения траектории ведущей РТП группы, сопряженная с применением планировщика перемещений и последующим сглаживанием получившейся траектории. Для сглаживания применяется разработанная ранее процедура. Траектории остальных элементов группы определяются путем построения смещенных пространственных кривых, вдоль которых должны двигаться эти элементы с учетом заданной конфигурации или требований сохранения некоторых средних кинематических параметров элементов вдоль своей траектории.Для решения задачи уклонения группы от источников возмущений использован метод, рассмотренный в предыдущих работах авторов для одиночных подвижных объектов. Данный метод базируется на расчете вероятностей успешного прохождения элементами группы своих траекторий. Эти вероятности могут быть найдены после оценки параметров характеристических вероятностных функций источников, описывающих характер их воздействия на движущиеся объекты в течение малых интервалов времени. Развита методика, позволяющая находить целевые траектории ведущей и ведомых РТП группы, вероятность успешного прохождения которых превышает заданное целевое значение. Указанная методика обобщается на случай, когда критерием оптимизации является вероятность успешного прохождения только части РТП группы в целевую область.Рассматриваются и обсуждаются результаты моделирования, подтверждающие эффективность и работоспособность предлагаемой методики планирования траекторий движения роботов, образующих группу, в среде с препятствиями и в поле источников-репеллеров.</p></abstract><trans-abstract xml:lang="en"><p>A method is proposed for solving the problem of planning the movement of a group of ground-based robotic platforms (UGR) with the requirement to maintain a given formation of the system in the presence of stationary obstacles and sources of disturbances. The task of calculating the trajectory of the leading UGR, coupled with the use of a displacement planner and subsequent smoothing of the resulting trajectory according to the method considered in the first part of this work, is highlighted. The trajectories of the slaved elements of the group are determined by constructing offset spatial curves along which these elements should move, taking into account a given configuration or the requirements of preserving some average kinematic parameters of the elements along their trajectory. To solve the problem of evading the group from the influence of sources of disturbances, the method considered in the previous works of the authors is proposed. It is based on the calculation of the probabilities of successful passage of the elements of the group of their trajectories. These probabilities can be found after evaluating the parameters of the characteristic probability functions of the sources describing the nature of their impact on moving objects over small time intervals. In this article, this method is modified by additional optimization of the resulting spatial trajectory along the length for each UGR, taking into account a given degree of permissible deviation from the original curve. A technique has been developed that allows to find the target trajectories of the leading and driven UGR of the group, the probability of successful passage of which exceeds the specified target value. The methodology is generalized to the case when the optimization criterion is the probability of successful completion of only part of the UGR group. Simulation results confirms the effectiveness of the proposed method of planning the trajectories of robots forming a group in the field of repeller sources.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>планирование траекторий</kwd><kwd>групповое управление</kwd><kwd>гладкие траектории</kwd><kwd>локальные минимумы</kwd><kwd>робототехническая платформа</kwd><kwd>двумерная среда</kwd></kwd-group><kwd-group xml:lang="en"><kwd>trajectory planning</kwd><kwd>group control</kwd><kwd>smooth trajectories</kwd><kwd>local minima</kwd><kwd>robotic platform</kwd><kwd>two-dimensional environment</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено при финансовой поддержке РНФ в рамках научного проекта № 22-29-00337</funding-statement><funding-statement xml:lang="en">The study was carried out with the financial support of the Russian Science Foundation, project No. 22-29-00337 performed at Joint-Stock Company "Robotics and Control Systems".</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Sun F., Li H., Zhu W., Kurths J. 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