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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences</journal-id><journal-title-group><journal-title xml:lang="en">News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences</journal-title><trans-title-group xml:lang="ru"><trans-title>Известия Кабардино-Балкарского научного центра РАН</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1991-6639</issn><issn publication-format="electronic">2949-1940</issn></journal-meta><article-meta><article-id pub-id-type="publisher-id">391440</article-id><article-id pub-id-type="doi">10.35330/1991-6639-2023-6-116-21-32</article-id><article-id pub-id-type="edn">CIGNEO</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Автоматизация и управление технологическими процессами и производствами</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Automation and control of technological processes and productions</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Approach to task allocation in a collaborative robotic system considering the working space model and dynamic reassignment of the performers</article-title><trans-title-group xml:lang="ru"><trans-title>Подход к распределению робототехнической системе с учетом модели рабочего пространства и динамического переназначения исполнителей</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6429-7868</contrib-id><name-alternatives><name xml:lang="en"><surname>Galin</surname><given-names>Rinat Romanovich</given-names></name><name xml:lang="ru"><surname>Галин</surname><given-names>Ринат Романович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Candidate of Technical Sciences, Researcher of Laboratory 80 "Cyber-Physical Systems"</p></bio><bio xml:lang="ru"><p>канд. техн. наук, науч. сотр. лаборатории № 80 «Киберфизические системы»</p></bio><email>grr@ipu.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5242-0996</contrib-id><name-alternatives><name xml:lang="ru"><surname>Галина</surname><given-names>Сания Болаткызы</given-names></name><name xml:lang="en"><surname>Galina</surname><given-names>Saniya Bolatkyzy</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Junior Researcher of Laboratory 80 "Cyber-Physical Systems"</p></bio><bio xml:lang="ru"><p>мл. науч. сотр. лаборатории № 80 «Киберфизические системы»</p></bio><email>ksb@ipu.ru</email></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6366-9786</contrib-id><name-alternatives><name xml:lang="ru"><surname>Мамченко</surname><given-names>Марк Владиславович</given-names></name><name xml:lang="en"><surname>Mamchenko</surname><given-names>Mark Vladislavovich</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="ru"><p>науч. сотр. лаборатории № 80 «Киберфизические системы»</p></bio><bio xml:lang="en"><p>Researcher of Laboratory 80 "Cyber-Physical Systems"</p></bio><email>markmamcha@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="ru">Институт проблем управления им. В. А. Трапезникова Российской академии наук</institution></aff><aff><institution xml:lang="en">V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences</institution></aff></aff-alternatives><content-language>ru</content-language><pub-date date-type="pub" iso-8601-date="2026-05-22" publication-format="electronic"><day>22</day><month>05</month><year>2026</year></pub-date><pub-date date-type="collection"><year>2023</year></pub-date><issue>6</issue><issue-title xml:lang="en">NO6 (2023)</issue-title><issue-title xml:lang="ru">№6 (2023)</issue-title><fpage>21</fpage><lpage>32</lpage><history><date date-type="received" iso-8601-date="2026-03-05"><day>05</day><month>03</month><year>2026</year></date></history><permissions><copyright-statement xml:lang="ru">Copyright ©; 2026, Галин Р.Р., Галина С.Б., Мамченко М.В.</copyright-statement><copyright-statement xml:lang="en">Copyright ©; 2026, Galin R.R., Galina S.B., Mamchenko M.V.</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Галин Р.Р., Галина С.Б., Мамченко М.В.</copyright-holder><copyright-holder xml:lang="en">Galin R.R., Galina S.B., Mamchenko M.V.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rcsi.science/1991-6639/article/view/391440">https://journals.rcsi.science/1991-6639/article/view/391440</self-uri><abstract xml:lang="en"><p>The article gives a number of proposals on improving the developed algorithm for task allocation in collaborative robotic systems and assignment of participants to perform operations of the technological process. The paper considers the spatial model of the working space (placement of workplaces), changes in the object of impact (product), use of additional resources, random behavior and mistakes of people, fatigue accumulation and decrease in the efficiency of their work over time, as well as dynamic reassignment of the performers of CRS in case of sudden failure of cobots or inability of the operators to work. The work also proposes a modified algorithm of minimization of the objective function (solution of the optimization problem) at the stage of selecting and assigning the performers of the operation, taking into account the efficiency values of available participants of CRS and minimizing their composition.</p></abstract><trans-abstract xml:lang="ru"><p>В работе сформирован ряд предложений по совершенствованию разработанного алгоритма для распределения работ в коллаборативной робототехнической системе (КРТС) и назначения участников КРТС на выполнение операций технологического процесса. Реализован учет пространственной модели рабочего пространства (размещения рабочих мест), изменения объекта воздействия (изделия) и использования дополнительных ресурсов, случайного поведения и ошибок людей, накопления усталости и снижения эффективности их работы со временем, а также динамического переназначения участников КРТС на выполнение операции в случае внезапного выхода из строя кобота или потери трудоспособности человеком. Также предложен модифицированный алгоритм минимизации целевой функции (решения оптимизационной задачи) на этапе подбора состава и назначения исполнителей на выполнение операции, учитывающий значения эффективности доступных участников КРТС и минимизирующий их состав.</p></trans-abstract><kwd-group xml:lang="en"><kwd>collaborative robotic system</kwd><kwd>task allocation</kwd><kwd>operation</kwd><kwd>technological process</kwd><kwd>human-robot interaction</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>коллаборативная робототехническая система</kwd><kwd>распределение работ</kwd><kwd>операция</kwd><kwd>технологический процесс</kwd><kwd>человеко-машинное взаимодействие</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда № 23-29-00690, https://rscf.ru/en/project/23-29-00690/</funding-statement><funding-statement xml:lang="en">The reported study was funded by the Russian Science Foundation according to the research project No. 23-29-00690, https://rscf.ru/en/project/23-29-00690/</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">1. Chatzisavvas A., Chatzitoulousis P., Ziouzios D., Dasygenis M. A routing and task-allocation algorithm for robotic groups in warehouse environments. Information. 2022. Vol. 13. No. 6. Pp. 1–14. DOI: 10.3390/info13060288</mixed-citation><mixed-citation xml:lang="ru">Chatzisavvas A., Chatzitoulousis P., Ziouzios D., Dasygenis M. A routing and task-allocation algorithm for robotic groups in warehouse environments. Information. 2022. Vol. 13. No. 6. Pp. 1–14. DOI: 10.3390/info13060288</mixed-citation></citation-alternatives></ref><ref id="B2"><label>2.</label><citation-alternatives><mixed-citation xml:lang="en">2. Петренко В. И., Тебуева Ф. Б., Павлов А. С., Гурчинский М. М. Метод распределения и планирования выполнения задач агентами роевых робототехнических систем в условиях недетерминированной среды // Прикаспийский журнал: управление и высокие технологии. 2022. 3(59). С. 25–43. DOI: 10.54398/2074-1707_2022_3_25</mixed-citation><mixed-citation xml:lang="ru">Петренко В. И., Тебуева Ф. Б., Павлов А. С., Гурчинский М. М. Метод распределения и планирования выполнения задач агентами роевых робототехнических систем в условиях недетерминированной среды // Прикаспийский журнал: управление и высокие технологии. 2022. 3(59). С. 25–43. DOI: 10.54398/20741707_2022_3_25</mixed-citation></citation-alternatives></ref><ref id="B3"><label>3.</label><citation-alternatives><mixed-citation xml:lang="en">3. Faccio M., Granata I., Minto R. Task allocation model for human-robot collaboration with variable cobot speed. Journal of Intelligent Manufacturing. 2023. Pp. 1–14. DOI: 10.1007/s10845-023-02073-9</mixed-citation><mixed-citation xml:lang="ru">Faccio M., Granata I., Minto R. Task allocation model for human-robot collaboration with variable cobot speed. Journal of Intelligent Manufacturing. 2023. Pp. 1–14. DOI: 10.1007/s10845-023-02073-9</mixed-citation></citation-alternatives></ref><ref id="B4"><label>4.</label><citation-alternatives><mixed-citation xml:lang="en">4. Aziz H., Pal A., Pourmiri A., Ramezani F., Sims B. Task Allocation Using a Team of Robots. Current Robotics Reports. 2022. 3. Pp. 227–238. DOI: 10.1007/s43154-022-00087-4</mixed-citation><mixed-citation xml:lang="ru">Aziz H., Pal A., Pourmiri A., Ramezani F., Sims B. Task Allocation Using a Team of Robots. Current Robotics Reports. 2022. 3. Pp. 227–238. DOI: 10.1007/s43154-022-00087-4</mixed-citation></citation-alternatives></ref><ref id="B5"><label>5.</label><citation-alternatives><mixed-citation xml:lang="en">5. Галина С. Б., Мамченко М. В., Галин Р. Р. Результаты исследования распределения работ в коллаборативной робототехнической системе с минимизацией их времени выполнения // Труды 8-й международной научно-практической конференции «Научно-инновационные исследования и разработки». Саратов: Цифровая наука, 2022. С. 20–29.</mixed-citation><mixed-citation xml:lang="ru">Галина С. Б., Мамченко М. В., Галин Р. Р. Результаты исследования распределения работ в коллаборативной робототехнической системе с минимизацией их времени выполнения // Труды 8-й международной научно-практической конференции «Научно-инновационные исследования и разработки». Саратов: Цифровая наука, 2022. С. 20–29.</mixed-citation></citation-alternatives></ref><ref id="B6"><label>6.</label><citation-alternatives><mixed-citation xml:lang="en">6. Galin R., Meshcheryakov R., Mamchenko M. Simple Task Allocation Algorithm in a Collaborative Robotic System. Frontiers in Robotics and Electromechanics. Smart Innovation, Systems and Technologies. 2023. 329. Pp. 433–447. DOI: 10.1007/978-981-19-7685-8_28</mixed-citation><mixed-citation xml:lang="ru">Galin R., Meshcheryakov R., Mamchenko M. Simple Task Allocation Algorithm in a Collaborative Robotic System. Frontiers in Robotics and Electromechanics. Smart Innovation, Systems and Technologies. 2023. 329. Pp. 433–447. DOI: 10.1007/978-981-19-7685-8_28</mixed-citation></citation-alternatives></ref><ref id="B7"><label>7.</label><citation-alternatives><mixed-citation xml:lang="en">7. Galin R.R., Galina S.B. Approach to Efficient Task Allocation in a Collaborative Robotic System Using Modified Cost Functions. 2023 International Russian Smart Industry Conference (SmartIndustryCon) / South Ural IEEE Chapter. Sochi, 2023. Pp. 568–573. DOI: 10.1109/SmartIndustryCon57312.2023.10110787</mixed-citation><mixed-citation xml:lang="ru">Galin R.R., Galina S.B. Approach to Efficient Task Allocation in a Collaborative Robotic System Using Modified Cost Functions. 2023 International Russian Smart Industry Conference (SmartIndustryCon) / South Ural IEEE Chapter. Sochi, 2023. Pp. 568–573. DOI: 10.1109/SmartIndustryCon57312.2023.10110787</mixed-citation></citation-alternatives></ref><ref id="B8"><label>8.</label><citation-alternatives><mixed-citation xml:lang="en">8. Yaacoub A., Thomas V., Colas F., Maurice P. A Probabilistic Model for Cobot Decision Making to Mitigate Human Fatigue in Repetitive Co-Manipulation Tasks. IEEE Robotics and Automation Letters. 2023. 8. 11. Pp. 7352–7359</mixed-citation><mixed-citation xml:lang="ru">Yaacoub A., Thomas V., Colas F., Maurice P. A Probabilistic Model for Cobot Decision Making to Mitigate Human Fatigue in Repetitive Co-Manipulation Tasks. IEEE Robotics and Automation Letters. 2023. 8. 11. Pp. 7352–7359. DOI: 10.1109/LRA.2023.3315583</mixed-citation></citation-alternatives></ref><ref id="B9"><label>9.</label><citation-alternatives><mixed-citation xml:lang="en">9. Buerkle A., Al-Yacoub A., Eaton W., et al. An Incremental Learning Approach to Detect Muscular Fatigue in Human–Robot Collaboration. IEEE Transactions on Human-Machine Systems. 2023. 53. 3. Pp. 520–528. DOI: 10.1109/THMS.2023.3259139</mixed-citation><mixed-citation xml:lang="ru">Buerkle A., Al-Yacoub A., Eaton W., et al. An Incremental Learning Approach to Detect Muscular Fatigue in Human–Robot Collaboration. IEEE Transactions on Human-Machine Systems. 2023. 53. 3. Pp. 520–528. DOI: 10.1109/THMS.2023.3259139</mixed-citation></citation-alternatives></ref><ref id="B10"><label>10.</label><citation-alternatives><mixed-citation xml:lang="en">10. Gervasi R., Capponi M., Mastrogiacomo L., Franceschini F. Analyzing psychophysical state and cognitive performance in human-robot collaboration for repetitive assembly processes. Production Engineering. 2023. Pp. 1–15. DOI: 10.1007/s11740-023-01230-6</mixed-citation><mixed-citation xml:lang="ru">Gervasi R., Capponi M., Mastrogiacomo L., Franceschini F. Analyz-ing psychophysical state and cognitive performance in human-robot collaboration for repetitive assembly processes. Production Engineer-ing. 2023. Pp. 1–15. DOI: 10.1007/s11740-023-01230-6</mixed-citation></citation-alternatives></ref><ref id="B11"><label>11.</label><citation-alternatives><mixed-citation xml:lang="en">11. Lippi M., Marino A. A mixed-integer linear programming formulation for human multi-robot task allocation. 2021 30th IEEE International Conference on Robot &amp; Human Interactive Communication (RO-MAN) / IEEE. Vancouver, 2021. Pp. 1017–1023. DOI: 10.1109/RO-MAN50785.2021.9515362</mixed-citation><mixed-citation xml:lang="ru">Lippi M., Marino A. A mixed-integer linear programming formulation for human multi-robot task allocation. 2021 30th IEEE International Conference on Robot &amp; Human Interactive Communication (RO-MAN) / IEEE. Vancouver, 2021. Pp. 1017–1023. DOI: 10.1109/RO-MAN50785.2021.9515362</mixed-citation></citation-alternatives></ref><ref id="B12"><label>12.</label><citation-alternatives><mixed-citation xml:lang="en">12. Mina T., Kannan S.S., Jo W., Min B.-C. Adaptive workload allocation for multi-human multi-robot teams for independent and homogeneous tasks. IEEE Access. 2020. 8. Pp. 152697–152712. DOI: 10.1109/ACCESS.2020.3017659</mixed-citation><mixed-citation xml:lang="ru">Mina T., Kannan S.S., Jo W., Min B.-C. Adaptive workload allocation for multi-human multi-robot teams for independent and homogeneous tasks. IEEE Access. 2020. 8. Pp. 152697–152712. DOI: 10.1109/ACCESS.2020.3017659</mixed-citation></citation-alternatives></ref><ref id="B13"><label>13.</label><citation-alternatives><mixed-citation xml:lang="en">13. Fusaro F., Lamon E., Momi E.D., Ajoudani A. Roles and planning tasks for mixed human-robot teams. 2021 30th IEEE International Conference on Robot &amp; Human Interactive Communication (RO-MAN) / IEEE. Vancouver, 2021. Pp. 534–539. DOI: 10.1109/RO-MAN50785.2021.9515500</mixed-citation><mixed-citation xml:lang="ru">Fusaro F., Lamon E., Momi E.D., Ajoudani A. An integrated dynamic method for allocating roles and planning tasks for mixed human-robot teams. 2021 30th IEEE International Conference on Robot &amp; Human Interactive Communication (RO-MAN) / IEEE. Vancouver, 2021. Pp. 534–539. DOI: 10.1109/RO-MAN50785.2021.9515500</mixed-citation></citation-alternatives></ref><ref id="B14"><label>14.</label><citation-alternatives><mixed-citation xml:lang="en">14. Lee M.-L., Behdad S., Liang X., Zheng M. Human-robot disassembly with human–robot collaboration. Robotics and Computer-Integrated Manufacturing. 2022. 76(2). 102306. Pp. 1–15. DOI: 10.1016/j.rcim.2021.102306</mixed-citation><mixed-citation xml:lang="ru">Lee M.-L., Behdad S., Liang X., Zheng M. Task allocation and planning for product disassembly with human–robot collaboration. Robotics and Computer-Integrated Manufacturing. 2022. 76(2). 102306. Pp. 1–15. DOI: 10.1016/j.rcim.2021.102306</mixed-citation></citation-alternatives></ref><ref id="B15"><label>15.</label><citation-alternatives><mixed-citation xml:lang="en">15. Noormohammadi-Asl A., Ayub A., Smith S.L., Dautenhahn K. Task Selection and Planning in Human-Robot Collaborative Processes: To be a Leader or a Follower? 2022 31st IEEE International Conference on Robot &amp; Human Interactive Communication (RO-MAN) / IEEE. Napoli, 2022. Pp. 1244–1251. DOI: 10.1109/RO-MAN53752.2022.9900770</mixed-citation><mixed-citation xml:lang="ru">Noormohammadi-Asl A., Ayub A., Smith S.L., Dautenhahn K. Task Selection and Planning in Human-Robot Collaborative Processes: To be a Leader or a Follower? 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) / IEEE. Napoli, 2022. Pp. 1244–1251. DOI: 10.1109/RO-MAN53752.2022.9900770</mixed-citation></citation-alternatives></ref><ref id="B16"><label>16.</label><citation-alternatives><mixed-citation xml:lang="en">16. Jung Y., Kim H., Suh K.D., Park J.M. Human-Centered Dynamic Service Scheduling Approach in Multi-Agent Environments. Applied Sciences. 2022. 12(21). 10850. Pp. 1–18. DOI: 10.3390/app122110850</mixed-citation><mixed-citation xml:lang="ru">Jung Y., Kim H., Suh K.D., Park J.M. Human-Centered Dynamic Service Scheduling Approach in Multi-Agent Environments. Applied Sciences. 2022. 12(21). 10850. Pp. 1–18. DOI: 10.3390/app122110850</mixed-citation></citation-alternatives></ref><ref id="B17"><label>17.</label><citation-alternatives><mixed-citation xml:lang="en">17. Zhang F., Zhang Y., Xu S. Collaboration effectiveness-based complex operations allocation strategy towards to human–robot interaction. Autonomous Intelligent Systems. 2022. 2:20. 1. Pp. 1–12. DOI: 10.1007/s43684-022-00039-x</mixed-citation><mixed-citation xml:lang="ru">Zhang F., Zhang Y., Xu S. Collaboration effectiveness-based complex operations allocation strategy towards to human–robot interaction. Autonomous Intelligent Systems. 2022. 2:20. 1. Pp. 1–12. DOI: 10.1007/s43684-022-00039-x</mixed-citation></citation-alternatives></ref><ref id="B18"><label>18.</label><citation-alternatives><mixed-citation xml:lang="en">18. Rahman S.M.M., Wang Y. Mutual trust-based subtask allocation for human–robot collaboration in flexible lightweight assembly. Mechatronics. 2018. No. 54. Pp. 94–109. DOI: 10.1016/j.mechatronics.2018.07.007</mixed-citation><mixed-citation xml:lang="ru">Rahman S.M.M., Wang Y. Mutual trust-based subtask allocation for human–robot collaboration in flexible lightweight assembly in manufacturing. Mechatronics. 2018. No. 54. Pp. 94–109. DOI: 10.1016/j.mechatronics.2018.07.007</mixed-citation></citation-alternatives></ref></ref-list></back></article>
