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Modified E3 exploration algorithm for unknown environments with obstacles
P. 1413–1418.
An efficient autonomous exploration of an unknown environment is an important task for mobile robots, which is required in many domains. This paper considers three existing exploration approaches: frontier exploration algorithm (FEA), greedy algorithm (GrA) and Ergodic Environmental Exploration algorithm (E3). While original E3 deals only with empty environments, we propose a new modified version of E3 (ME3A) that allows to explore environments with obstacles. FEA, GrA and ME3A were implemented in Robot Operating System and their performance was evaluated in Gazebo simulator within 18 different environments. We employed a total travelled distance and a percentage of explored environment as a comparison criteria. © 2022 ACA.
Faizullin R., Mustafin M., Svinin M. et al., , in: 2025 9th International Conference on Information, Control, and Communication Technologies (ICCT-2025).: IEEE, 2025. P. 1–4.
This work addresses the problem of energy-constrained coverage of agricultural fields using a fleet of identical unmanned aerial vehicles (UAVs). Each UAV must complete a spraying mission over a designated area, subject to limited battery capacity. To ensure energy feasibility, static charging stations are deployed along the field’s perimeter. The agricultural field is first partitioned ...
Added: June 23, 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
Lee H., Sergey U. Chernikov, Nagy S. et al., Social Sciences 2022 Vol. 11 No. 11 Article 522
This empirical study investigates the impact of the Hofstede cultural dimensions (HCD) on the Global Innovation Index (GII) scores in four different years (2007, 2009, 2019 and 2021) to compare the impacts during the pre- and post-crisis (financial and COVID-19) period by employing ordinary least square (OLS) and robust least square (Robust) analyses. The purpose ...
Added: March 11, 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
Gorokhov L., Safin R., Magid E., , in: Proceedings Volume 13404, Fifth International Conference on Control, Robotics, and Intelligent System (CCRIS 2024).: SPIE, 2024. Ch. 134040X.
Path planning Bug algorithms play a crucial role in addressing the problem of navigating through unknown environments. This paper presents a practical implementation of the TangentBug algorithm within the Robot Operating System along with a discussion of encountered issues of practical usage. The TangentBug algorithm uses data from laser and odometry sensors to construct locally optimal paths without ...
Added: February 19, 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
Implementation of Bug1 and Bug2 Basic Path-Planning Algorithms for a TurtleBot 3 Robot in ROS Noetic
Spektor I., Zagirov A., Safin R. et al., , in: Proceedings Of The 2024 International Conference On Artificial Life And Robotics February 22 To 25, 2024 J:Com Horutohall, Oita, Japan. 29Th Arob International Meeting Series.: ALife Robotics Corporation Ltd., 2024. P. 272–275.
Added: February 19, 2025
Abbyasov B., Gamberov T., Zhukova V. et al., Journal of Robotics, Networking and Artificial Life 2023 Vol. 10 No. 2 P. 166–169
Testing is a crucial aspect of robotic systems development. New robotic concepts should be proven to be safe and effective before running on real robotic platforms in real environments. Robotic simulation allows creating virtual environments and repeating real-world scenarios. 3D modelling has become a standard way for creating on-demand compound digital 3D models with a ...
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