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Организация маршрута анимата на основе визуальных ориентиров
С. 251–262.
A mechanism for memorizing the route that a mobile robot passes in search of a target object is considered. The basis of the proposed method is to memorize the path by visual reference points and fuzzy control. The benchmark is a compact group of objects that differ in color and size. A hierarchical procedure for recognizing landmarks and scenes is described. An algorithm for forming the route description is proposed. The rules for its interpretation include elements of spatial logic. The results of simulation obtained using the Kvorum modeling system are presented.
In book
Переславль-Залесский: Российская ассоциация искусственного интеллекта, 2019.
Корсунский В. А., Бяков К. Е., М.: Издательство МГТУ им. Н.Э. Баумана, 2025.
Описана методика выбора параметров энергетической установки и тяговых электродвигателей мобильного робота на этапе проектирования с использованием программного комплекса MatLab. Для студентов высших учебных заведений, обучающихся по специальностям 23.05.01 «Наземные транспортно-технологические средства», 23.05.02 «Транспортные средства специального назначения», и магистрантов 2 курса, обучающихся по направлению подготовки 23.05.04 «Наземные транспортно-технологические средства». ...
Added: August 7, 2026
Faizullin R., Imamov N., Tsoy T. et al., , in: 10th International Conference, ICR 2025, Hanoi, Vietnam, November 10–13, 2025, Proceedings, Part II. Interactive Collaborative Robotics. (LNCS, volume 16304).: Springer, 2026. P. 385–398.
Autonomous agricultural vehicles operating under the Controlled Traffic Farming (CTF) paradigm face complex routing challenges when minimizing soil compaction, total mission time, and station placement under battery constraints. This paper introduces Multi-Objective Coordinated Autonomous Routing and Placement with Fixed Lanes (MO-CARP-FL), a novel multi-objective evolutionary algorithm designed to optimize the coordinated routing of homogeneous autonomous ...
Added: March 17, 2026
Faizullin R., Imamov N., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 25 – 34.
This article considers a dual problem of optimizing field coverage while minimizing a soil compaction and managing energy constraints of agricultural robots. The soil compaction in precision agriculture is a major challenge, as mobile robots are becoming increasingly common in field operations. A proposed optimization combines a soil compaction risk assessment with energy-efficient trajectory planning ...
Added: March 17, 2026
Gataullin R., Abbyasov B., Zhukova V. et al., , in: 6th International Conference, CIT&DS 2025, Volgograd, Russia, September 22–25, 2025, Proceedings. Creativity in Intelligent Technologies and Data Science. (CCIS, volume 2803).: Cham: Springer, 2025. P. 477 – 491.
Mobile robots are increasingly used to automate repetitive and labor-intensive tasks in environments such as hospitals, warehouses, offices, and manufacturing facilities. When working together, multiple robots can achieve greater efficiency by sharing workloads and coordinating complex tasks, which enables faster completion of large-scale operations. Managing such teams of robots, however, requires an intuitive system for ...
Added: March 17, 2026
Roslavtsev M., Eryomin A., Safin R. et al., , in: 2024 8th International Conference on Information, Control, and Communication Technologies (ICCT).: IEEE, 2024. P. 1–5.
Modern map-dependent algorithms for mobile robot navigation typically overload a CPU and memory with a gradually increasing amount of environmental data. In contrast, Bug family local path planning algorithms operate without mapping and have significantly lower hardware requirements. Bug algorithms use real-time measurements from visual and touch sensors to make immediate decisions on direction of ...
Added: November 25, 2025
ROS-based navigation in unknown environment using the InsertBug algorithm: Issues of practical usage
Nekerov I., Safin R., Tsoy T. et al., Ученые записки Казанского университета. Серия: Физико-математические науки 2025 Vol. 167 No. 1 P. 38–53
BUG algorithms are effective strategies for local path planning in unknown environments. This article presents a practical implementation of the InsertBug algorithm using the Robot Operating System (ROS) and highlights its challenges. The algorithm relies on laser sensor and odometry data to construct a locally optimal path in an unknown terrain. Its evaluation was performed ...
Added: November 25, 2025
Roman M., Eryomin A., Tsoy T. et al., , in: 2024 8th International Conference on Information, Control, and Communication Technologies (ICCT).: IEEE, 2024. Ch. 51 P. 1–4.
In this paper, we present an implementation of the CautiousBug algorithm within the Noetic distribution of the
Robot Operating System (ROS). Bug algorithms address a challenge of robot navigation in unknown environments without relying on pre-existing maps or constructing new ones. These algorithms utilize odometry data, operate without a map, require minimal computational resources, and can ...
Added: May 28, 2025
Yatskin D., В кн.: Труды 60-й Всероссийской научной конференции МФТИ. 20–26 ноября 2017 года. Радиотехника и компьютерные технологии.: М.: МФТИ, 2017. С. 127–128.
Исследуется использование группы мобильных роботов для решения задач поиска людей на заранее заданной территории ...
Added: March 7, 2025
Кочкаров А. А., Yatskin D., Программные продукты и системы 2016 № 3 С. 60–66
This paper is devoted to the task of space monitoring, algorithm and software package for solving it. From this problem the authors go on to the problem of detection, and then – to the problem of geometrical sensors location. It is proposed to use a decentralized robotic network to solve this problem. Limitations and assumptions ...
Added: March 7, 2025
Кочкаров А. А., Yatskin D., Рахманов О. А., Известия ЮФУ. Технические науки 2016 № 2 С. 158–168
The problem of limited space monitoring is formulated. The connection between the monitoring space and the detection of objects in this space sets up. After introducing some assumptions we conclude the necessity of solving the covering set (connected space) problem. The presence of obstacles in the monitoring area is the characteristic feature of the problem. ...
Added: March 7, 2025
Kirill Muravyev, Melekhin A., Yudin D. et al., IEEE Robotics and Automation Letters 2025 Vol. 10 No. 4 P. 3126–3133
Mapping is one of the crucial tasks enabling autonomous navigation of a mobile robot. Conventional mapping methods output a dense geometric map representation, e.g. an occupancy grid, which is not trivial to keep consistent for prolonged runs covering large environments. Meanwhile, capturing the topological structure of the workspace enables fast path planning, is typically less ...
Added: March 3, 2025
Sulaiman S., Sudheer A. P., Magid E., , in: 2024 4th International Conference on Computer, Control and Robotics (ICCCR).: IEEE, 2024. P. 269–273.
Mobile robots with wheeled, legged and hybrid bases are currently used in industrial and service sectors for diverse applications. In this paper, a comparative study of various hybrid path planning algorithms for avoiding static obstacles were carried out for determining a most efficient path planning algorithm for a given task. A modified Probabilistic Road Map ...
Added: February 19, 2025
Pillai B., Suthakorn J., Sivaraman D. et al., Advanced Robotics 2024 Vol. 38 No. 3 P. 129–151
In the face of humanitarian crises such as torrential rainfall, resulting floods, and landslides, rapid rescue operations are often imperative. However, owing to the inherent dangers and unpredictability of such circumstances, immediate on-site aid delivery is frequently unfeasible. In such challenging scenarios, mobile robot systems have emerged as the optimal solution for aiding search and ...
Added: February 19, 2025
Lychko S., Tsoy T., Li H. et al., , in: 2022 International Siberian Conference on Control and Communications (SIBCON).: IEEE, 2022. P. 1–6.
Internet of Medical Things (IoMT) is a rapidly growing branch of IoT (Internet of Things), which requires special treatment to cyber security due to confdentiality of healthcare data and patient health threat. Healthcare data and
automated medical devices might become vulnerable targets of malicious cyber-attacks. While a large number of robotic applications, including medical and healthcare, employ robot operating system (ROS) as their ...
Added: January 16, 2024
Torres-Martínez A. A., Martínez-García E., Lavrenov R. et al., , in: Artificial Intelligence for Robotics and Autonomous Systems Applications.: Springer, 2023. Ch. 15 P. 461–486.
Added: November 25, 2023
Apurin A., Abbyasov B., Martínez-García E. et al., , in: 8th International Conference, ICR 2023, Baku, Azerbaijan, October 25–29, 2023, Proceedings. Interactive Collaborative Robotics. LNCS, volume 14214.: Springer, 2023. Ch. 11 P. 116–126.
Added: November 25, 2023
Алхаддад М., Миронов К. В., Dergachev S. et al., Робототехника и техническая кибернетика 2023 Т. 11 № 3 С. 205–214
The task of local trajectory planning for an autonomous wheeled robotic platform in cluttered indoor environment is considered. Such environment might include narrow passages, which width is less than the length of the platform. Therefore, it is not possible to apply standard approach, when the obstacles are inflated with the maximum radius of the platform. ...
Added: September 8, 2023
Karpova I. P., Управление большими системами: сборник трудов 2022 № 96 С. 69–117
The paper describes a bioinspired method of mobile robots navigation, similar to the navigation mechanism of social insects. The model species is the red forest ant Formica rufa. The scout red forest ant remembers the route to food and can transmit information about the food location to foraging ants. Foragers can walk to the food ...
Added: December 8, 2022