Development of a multi-agent control algorithm for control of a group of mobile «s-bot».
Currently, intelligent mobile objects (IMOs) are widely used in areas associated with risk to people, for example, in the chemical and nuclear industry in case of man-made and natural disasters, etc. The IMOs can be used in solving problems such as inspection and investigation of hard-to-reach premi...
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| Дата: | 2019 |
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| Формат: | Стаття |
| Мова: | rus |
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Інститут проблем реєстрації інформації НАН України
2019
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| Онлайн доступ: | http://drsp.ipri.kiev.ua/article/view/179452 |
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Репозитарії
Data Recording, Storage & Processing| id |
drspiprikievua-article-179452 |
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| record_format |
ojs |
| institution |
Data Recording, Storage & Processing |
| collection |
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| language |
rus |
| topic |
інтелектуальні мобільні об’єкти «swarm-bot» «s-bot» lan-«s-bot» гібридна система «вартість» «аукціон» «продаж» «прибутки» «покупки» smart mobile objects «swarm-bot» «s-bot» lan-«s-bot» hybrid system «cost» «auction» «sale» «income» «purchases» |
| spellingShingle |
інтелектуальні мобільні об’єкти «swarm-bot» «s-bot» lan-«s-bot» гібридна система «вартість» «аукціон» «продаж» «прибутки» «покупки» smart mobile objects «swarm-bot» «s-bot» lan-«s-bot» hybrid system «cost» «auction» «sale» «income» «purchases» Tkachov, V. N. Tokariev, V. V. Churyumov, G. I. Development of a multi-agent control algorithm for control of a group of mobile «s-bot». |
| topic_facet |
інтелектуальні мобільні об’єкти «swarm-bot» «s-bot» lan-«s-bot» гібридна система «вартість» «аукціон» «продаж» «прибутки» «покупки» smart mobile objects «swarm-bot» «s-bot» lan-«s-bot» hybrid system «cost» «auction» «sale» «income» «purchases» |
| format |
Article |
| author |
Tkachov, V. N. Tokariev, V. V. Churyumov, G. I. |
| author_facet |
Tkachov, V. N. Tokariev, V. V. Churyumov, G. I. |
| author_sort |
Tkachov, V. N. |
| title |
Development of a multi-agent control algorithm for control of a group of mobile «s-bot». |
| title_short |
Development of a multi-agent control algorithm for control of a group of mobile «s-bot». |
| title_full |
Development of a multi-agent control algorithm for control of a group of mobile «s-bot». |
| title_fullStr |
Development of a multi-agent control algorithm for control of a group of mobile «s-bot». |
| title_full_unstemmed |
Development of a multi-agent control algorithm for control of a group of mobile «s-bot». |
| title_sort |
development of a multi-agent control algorithm for control of a group of mobile «s-bot». |
| title_alt |
Розробка алгоритму мультиагентного управління групою мобільних «s-bot» |
| description |
Currently, intelligent mobile objects (IMOs) are widely used in areas associated with risk to people, for example, in the chemical and nuclear industry in case of man-made and natural disasters, etc. The IMOs can be used in solving problems such as inspection and investigation of hard-to-reach premises, monitoring of various objects, mapping of working space pollution, security systems, etc. The advantages of using the IMO group are shown. The definition of multi-agent systems is given. The properties of the concept of «agent» are formulated. The advantages of using the IMO group are shown: longer range; extended set of functions (multi-functionality); a higher probability of accomplishing the tasks, which is achieved due to the possibility of redistributing goals between the IMO group in case of failure in some of them. The relevance of multi-agent management of the IMO group in the aftermath of the consequences of man-made accidents and disasters, where there is a destructive external influence (DEI), is formulated because DEI is one of the basic conditions for the application of a technical system in the form of an IMO in an environment that is dangerous to humans. The solution of this task is aimed at the practical implementation of multi-agent managing the IMO group, which allows to significantly reduce the degree of risk when working in adverse or dangerous conditions. The concept of «Swarm-bot» system and its separate component, a «swarm-bot», is introduced. It is shown that when building a «Swarm-bot» system, the most important and challenging task is to develop a management system capable of solving global and local planning tasks in accordance with the selected group management strategy and the received «s-bot» information. Depending on the group management strategy used, there are three types of «Swarm-bot»: centralized, decentralized, and hybrid. The composition of the hybrid «Swarm-bot» system is formed, which includes the following elements: 1) control center; 2) a set of mobile «s-bots» with different «specialization» («s-bot» scouts, «s-bot» liquidators, etc.); 3) support equipment. The multi-agent management approach to solving the problems of marking safe routes for evacuation and neutralization of chemical contamination outbreaks is considered. A multi-agent task distribution algorithm has been developed for the «s-bot» team. It has been shown that centralized management should be applied if the number of «s-bot» members that are in the team is small and the environment, in which «s-bost» operate, change slower. In other cases, multi-agent control is preferred. |
| publisher |
Інститут проблем реєстрації інформації НАН України |
| publishDate |
2019 |
| url |
http://drsp.ipri.kiev.ua/article/view/179452 |
| work_keys_str_mv |
AT tkachovvn developmentofamultiagentcontrolalgorithmforcontrolofagroupofmobilesbot AT tokarievvv developmentofamultiagentcontrolalgorithmforcontrolofagroupofmobilesbot AT churyumovgi developmentofamultiagentcontrolalgorithmforcontrolofagroupofmobilesbot AT tkachovvn rozrobkaalgoritmumulʹtiagentnogoupravlínnâgrupoûmobílʹnihsbot AT tokarievvv rozrobkaalgoritmumulʹtiagentnogoupravlínnâgrupoûmobílʹnihsbot AT churyumovgi rozrobkaalgoritmumulʹtiagentnogoupravlínnâgrupoûmobílʹnihsbot |
| first_indexed |
2024-04-21T19:34:04Z |
| last_indexed |
2024-04-21T19:34:04Z |
| _version_ |
1796974097715953664 |
| spelling |
drspiprikievua-article-1794522019-12-10T10:51:34Z Development of a multi-agent control algorithm for control of a group of mobile «s-bot». Розробка алгоритму мультиагентного управління групою мобільних «s-bot» Tkachov, V. N. Tokariev, V. V. Churyumov, G. I. інтелектуальні мобільні об’єкти «swarm-bot» «s-bot» lan-«s-bot» гібридна система «вартість» «аукціон» «продаж» «прибутки» «покупки» smart mobile objects «swarm-bot» «s-bot» lan-«s-bot» hybrid system «cost» «auction» «sale» «income» «purchases» Currently, intelligent mobile objects (IMOs) are widely used in areas associated with risk to people, for example, in the chemical and nuclear industry in case of man-made and natural disasters, etc. The IMOs can be used in solving problems such as inspection and investigation of hard-to-reach premises, monitoring of various objects, mapping of working space pollution, security systems, etc. The advantages of using the IMO group are shown. The definition of multi-agent systems is given. The properties of the concept of «agent» are formulated. The advantages of using the IMO group are shown: longer range; extended set of functions (multi-functionality); a higher probability of accomplishing the tasks, which is achieved due to the possibility of redistributing goals between the IMO group in case of failure in some of them. The relevance of multi-agent management of the IMO group in the aftermath of the consequences of man-made accidents and disasters, where there is a destructive external influence (DEI), is formulated because DEI is one of the basic conditions for the application of a technical system in the form of an IMO in an environment that is dangerous to humans. The solution of this task is aimed at the practical implementation of multi-agent managing the IMO group, which allows to significantly reduce the degree of risk when working in adverse or dangerous conditions. The concept of «Swarm-bot» system and its separate component, a «swarm-bot», is introduced. It is shown that when building a «Swarm-bot» system, the most important and challenging task is to develop a management system capable of solving global and local planning tasks in accordance with the selected group management strategy and the received «s-bot» information. Depending on the group management strategy used, there are three types of «Swarm-bot»: centralized, decentralized, and hybrid. The composition of the hybrid «Swarm-bot» system is formed, which includes the following elements: 1) control center; 2) a set of mobile «s-bots» with different «specialization» («s-bot» scouts, «s-bot» liquidators, etc.); 3) support equipment. The multi-agent management approach to solving the problems of marking safe routes for evacuation and neutralization of chemical contamination outbreaks is considered. A multi-agent task distribution algorithm has been developed for the «s-bot» team. It has been shown that centralized management should be applied if the number of «s-bot» members that are in the team is small and the environment, in which «s-bost» operate, change slower. In other cases, multi-agent control is preferred. Проведено аналіз існуючих підходів до вирішення проблеми групового управління інтелектуальними мобільними об’єктами (ІМО). Дано визначення поняттям «Swarm-bot» і «s-bot». Проаналізовано основні проблеми, що виникають при управлінні групою ІМО. Показано, що при побудові «Swarm-bot»-системи найбільш важливим і складним завданням є розробка системи управління, що здатна вирішувати завдання глобального та локального планування відповідно до обраної стратегії групового управління і одержуваної «s-bot» інформацією. Наведено загальну концепцію побудови гібридної «Swarm-bot»-системи. Розроблено алгоритм мультиагентного управління групою мобільних «s-bot». Інститут проблем реєстрації інформації НАН України 2019-11-05 Article Article application/pdf http://drsp.ipri.kiev.ua/article/view/179452 10.35681/1560-9189.2019.1.1.179452 Data Recording, Storage & Processing; Vol. 21 No. 1 (2019); 46-56 Регистрация, хранение и обработка данных; Том 21 № 1 (2019); 46-56 Реєстрація, зберігання і обробка даних; Том 21 № 1 (2019); 46-56 1560-9189 rus http://drsp.ipri.kiev.ua/article/view/179452/182641 Авторське право (c) 2021 Реєстрація, зберігання і обробка даних |