Перегляд за автором "Yevsieiev, V. V."
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Публікація A Small-Scale Manipulation Robot a Laboratory Layout Development(2023) Yevsieiev, V. V. ; Starodubcev, N.; Maksymova, S.; Stetsenko, K.This article is devoted to the control system development for a mobile manipulation robot with a computer vision system. A feature of this study is the development of a decentralized control system based on microcontroller modules with the possibility of remote control using wireless networks. During the design, the authors developed a generalized block diagram of the manipulation robot and analyzed and selected hardware modules for imple-menting the control system. For the implementation of the laboratory layout of a mobile manipulation robot, the restrictions that are imposed on the control system were selected and justified. Based on these restrictions, it was proposed to use the following hardware modules: ESP32-Cam - for computer vision system implementation and ESP32 Devkitc v4 for motion control system implementation 2WD robotic platform and control system for the manipulator itself. Based on the selected hardware modules, a block diagram of the information interaction of the main modules of a mobile manipulation robot and an electrical circuit diagram are proposed, an experimental model of a small-sized manipulation robot is assembled to test the control system. A generalized control algorithm for a mobile manipulation robot has been developed based on the "client-server" architecture approach using "thin client" technologies, which makes it possible to use any mobile device that supports hardware connection to Wi-FI and any Web browserПублікація Automation of Flexible HMI Interface Development for Cyber-Physical Production Systems(SWorld & D.A. Tsenov Academy of Economics Svishtov, 2021) Nevliudov, I. Sh.; Yevsieiev, V. V.; Starodubcev, N.; Demska, N. P.This publication is devoted to solving the problem of automation of flexible HMI interface development for monitoring and control of technological processes in cyber - physical production systems used in Smart Manufacturing within the Industry 4.0 concepts. The peculiarity of such systems is the great flexibility in use and upgrades, the minimum time of reconfiguration and implementation in the production process. As a result, there are questions about the implementation of adequate and modern HMI interface of the production process operator in real time, for timely analysis and decision making. Modern control systems for automated lines have a precise nature, each workbench has its own "control system", which is offered by the manufacturer, all these "control systems" are combined using the Industrial Internet of Things. However, such solutions are outdated, currently the one relevant is a single control system for a production line, shop, enterprise, corporation, which has a flexible interface that can be configured in a minimum of time, without the involvement of software developers. This is possible if the development of the HMI interface will be implemented on new approaches in the form of a specialized language based on natural language, which will reduce the time of development and implementation of additive cyber design.Публікація Coin Counting Device Kinematic Diagram Development(Journal of Universal Science Research, 2024) Maksymova, S.; Yevsieiev, V. V.Coin counting machines not only speed up the coin counting process, but also increase the accuracy and efficiency of cash handling, which is a key factor for businesses and organizations that handle cash. In this article, the authors consider the requirements that must be taken into account when developing coin counting machines. The main components of a coin counter are also discussed. Development of a kinetic scheme of a coin feeder.Публікація Conveyor Belt Object Identification: Mathematical, Algorithmic, and Software Support(Natural Sciences Publishing (NSP), 2023) Nevliudov, I. Sh,; Yevsieiev, V. V.; Maksymova, S. S.; Omarov, A. O. M.; Klymenko, O. M.This article is devoted to the development of a package identification system on a mixed conveyor sorting line with a vertical lift from Kapelou. In the conditions of modern Warehouse 4.0 systems requirements, a tasks number arise associated with automatic objects sorting in real time. One of the most common is QR codes using, as it is the most costeffective. But the introduction of automated systems for identifying objects on a conveyor line based on QR codes causes a number of tasks that are associated with the dynamic parameters of identifying the location of the package in the recognition zone, determining and localizing the location of the QR code, for further reading and decoding information about the package with further adoption decisions about its movement in the sorting system. The authors propose a solution to this problem by developing a module for identifying and recognizing objects on a conveyor line based on computer vision using a Raspberry Pi 4 Model B single-board computer with a developed method for processing a QR code image, the system structure, algorithmic and mathematical support have been developed. To check the correctness of proposed decisions, software was developed, and a number of natural experiments were carried out with different parameters (conveyor speeds, illumination, packaging feeding angles for the computer vision system) for the developed object identification system on the Kapelou sorting conveyor line, which showed a high processing speed and decoding data from a QR code.Публікація Development and Improvement of the Design of a Lightweight Mobile Robot Manipulator Using Generative Design(Вчені записки ТНУ імені В.І. Вернадського, 2023) Nevliudov, I. Sh.; Yevsieiev, V. V.; Demska, N. P.; Kostrova, H. Yu.This paper is devoted to the study of the possibility of minimizing the mass of an on-board manipulator for a mobile robot without losing structural strength. The analysis of publications showed that the solution of this task will allow to increase the mass of the payload, therefore it will allow to significantly increase the time of autonomous operation. Which, accordingly, will allow solving more complex manipulation tasks in areas of increased danger or man-made disasters. To solve the task, the authors developed a kinematic scheme and a movement mechanism of a 5-axis mobile manipulator, performed an analysis and selected stepper motors as the drivers. The rationale for this choice is to increase the positioning accuracy of the gripping mechanism, which will allow for more accurate operations of moving objects. Using the Autodesk Fusion 360 design environment, 3D models of the structural elements of the mobile manipulator were developed, assembly was carried out, and weight and strength parameters were investigated. The total weight of the manipulator was 1060g, under the conditions that the material to preserve the strength parameters will be sheet metal with a thickness of 5mm. Using the approach to generative design, the authors improved all structural elements and conducted a series of simulations in the Simulation: Shape Optimization plugin. The results of the typological analysis of each link of the developed mobile manipulator showed the possibility of reducing the mass of each part by ~30-40%, depending on its design features, without losing strength parameters. As a result of improving the designs of the mobile manipulator using the generative design method, it was possible to reduce the total weight from 1060g to 601g, that is, the weight of the manipulator decreased by 41.5%. The authors hope that in the future, the conducted research will allow to reduce the consumption of materials and the time of manufacturing structural elements without loss of strength parameters when using additive technologies (3D printing by the FDM method), and therefore to increase the autonomous operation time of the mobile manipulative robot.Публікація Flexible and flex-rigid printed circuit boards basic characterastics for parametric model development(ДРУКАРНЯ МАДРИД, 2016) Yevsieiev, V. V.; Miliutina, S.; Salieva, V. E.Flexible and flex-rigid printed circuit boards basic characterastics for parametric model development.Публікація Mathematical Model of Block Process Planning in Systems of Allocation of Task Between Peopleand Collaborative Robots in the Framework of Industries 5.0(Kherson National Technical University, 2025) Nevliudov, I. Sh.; Yevsieiev, V. V.; Gurin, D. V.This article considers the current problem of task allocation between humans and collaborative robots in the context of Industry 5.0 using block process planning. The main focus is on analyzing the interaction between operators and automated systems operating in a shared production environment. The main goal is to ensure harmonious cooperation between humans and robots by optimizing task allocation, taking into account a number of important factors, such as time and resource constraints, the complexity of the operations performed, the level of autonomy of robotic systems, and the priority of performing different stages of production. As part of the study, a mathematical model is proposed that includes cost and benefit functions that allow assessing x1the effectiveness of planning. The model also contains numerous time and resource constraints that are critical to maintaining the productivity, safety, and flexibility of modern production systems. To verify its operability, software in Python was developed that allows not only to automatically carry out the planning process, but also to evaluate the overall effectiveness of the proposed task allocation strategies. The conducted experimental studies have shown that the success of planning depends to a large extent on the balance of time and resource parameters. The conducted experiments have shown that the success of planning depends on the balance of time and resource parameters: at values and all constraints are met, and the cost function fluctuates within 30–80. In contrast, in the case of insufficient resources, the system exhibits increased sensitivity, which makes the performance of some tasks impossible or inefficient. The results obtained confirm that the developed model is resistant to parameter changes and provides optimal task distribution in most production scenarios. Prospects for further research include extending the model for dynamic environments, integrating machine learning algorithms for forecasting, and improving the adaptive planning process.