Oleksandr Sokolov received M.Sc. in Automation and Computer Integrated Technologies at the Faculty of Electronics and Information Technologies, Sumy State University in 2021. Then he started her PhD. Study at the Faculty of Technical Systems and Energy Efficient Technologies, Sumy State University in 2022 . His research area is soft robotics and digital twins.
EDUCATION
I completed my Master's in Robotics and Automation Engineering at Sumy State University from September 2020 to December 2021. This advanced program deepened my understanding and skills in the field, culminating in my graduation with honours.
Previously, I pursued my Bachelor's degree in the same discipline at Sumy State University. This foundational course spanned from September 2016 to June 2020. It gave me a comprehensive introduction to Robotics and Automation Engineering, leading to my graduation with honours.
RESEARCH, TEACHING, or OTHER INTERESTS
Control and Optimization, Industrial and Manufacturing Engineering, Mechanical Engineering
Optimization of Soft Actuator Control in a Continuum Robot Oleksandr Sokolov, Serhii Sokolov, Angelina Iakovets, Miroslav Malaga Actuators, 2025 This study presents a quasi-static optimization framework for the pressure-based control of a multi-segment soft continuum manipulator. The proposed method circumvents traditional curvature and length-based modeling by directly identifying the quasi-static input–output relationship between actuator pressures and the 6-DoF end-effector pose. Experimental data were collected using a high-frequency electromagnetic tracking system under monotonic pressurization to minimize hysteresis effects. Transfer functions were identified for each coordinate–actuator pair using the System Identification Toolbox in MATLAB, and optimal actuator pressures were computed analytically by solving a constrained quadratic program via a manual active-set method. The resulting control strategy achieved sub-millimeter positioning error while minimizing the number of actuators engaged. The approach is computationally efficient, sensor-minimal, and fully implementable in open-loop settings. Despite certain limitations due to sensor nonlinearity and actuator hysteresis, the method provides a robust foundation for feedforward control and the real-time deployment of soft robots in quasi-static tasks.
Intelligent Human–Robot Interaction Assistant for Collaborative Robots Oleksandr Sokolov, Vladyslav Andrusyshyn, Angelina Iakovets, Vitalii Ivanov Electronics Switzerland, 2025 Collaborative robots are rapidly gaining popularity and will occupy 33% of the industrial robot market by 2030 due to their ability to adapt to dynamic environments where traditional automation approaches lack flexibility. Available solutions in the market are characterized by the generality of the pod without considering the specifics of a particular collaborative workplace. This feature creates barriers to developing human–robot interaction (HRI) interfaces. The proposed study developed a Collaborative Robotics Assistant (CobRA) system to address these challenges. Considering the workplace’s peculiarities, this intelligent HRI system provides seamless programming for collaborative robots right in the workplace. CobRA combines machine vision and convolutional neural networks to detect objects in real-time using a depth-sensing camera and uses a projector to visualize the control interface interactively. The system supports high-level commands such as object manipulation and placement by automating programming. The solution was tested in a SmartTechLab and program environment where it demonstrated significant efficiency gains, reducing errors and programming time compared to traditional methods. This development opens new perspectives for improving the safety and efficiency of human–robot interaction in dynamic industrial environments.
AUTOMATION OF A LABORATORY ELECTRIC AUTOCLAVE USING A PROGRAMMABLE LOGIC CONTROLLER Oleg Radchuk, Marina Savchenko-Pererva, С. В. Соколов, Oleksandr Sokolov Journal of Chemistry and Technologies, 2025 У статті проаналізовано використання електричного автоклава із запропонованою автоматизованою системою керування для впровадження в навчальний процес. Аналіз реалізації технологічного процесу стерилізації консервів у електроавтоклаві проводили на автоматизованому стенді керування електроавто-клавом. Розглянуто варіанти режимів роботи програмованого логічного контролера (ПЛК) OWEN PR200 з електроавтоклавом. Наведений принцип налагодження студентами автоматизованого стенду для стерилі-зації консервів. Експериментально доведено, що розігрів електричного автоклава запускається або безпосе-редньо програмованим логічним контролером, або комп’ютером з програмою Наглядового Контролю і Збору Даних (SCADA). Для студентів дистанційної форми навчання є можливість використання віддаленого доступу для моніторингу параметрів та керування роботою автоклава за допомогою хмарного веб-сервера. Моделювання проводилося в середовищі MATLAB для визначення налаштувань ПЛК, а система керування моделювалася за допомогою MATLAB/Simulink. Досліджено, що електричний автоклав нагрівається протягом заданого технологічним процесом часу до заданих параметрів. Наведено приклад використання стенду за варіантом №8. Визначена необхідність підвищення якості автоклавного контролю. Запропоновано використання пропорційно-інтегрально-диференціального (ПІД) регулятора замість двопозиційного релейного регулятора ПЛК. Представлено переваги використання Пропорційно-Інтегрального (PI) регулювання. ПІД-регулювання через аналоговий вихід ПЛК ефективно виробляє консерви з рослинних інгредієнтів. Подальшим напрямком досліджень може стати використання контролера на основі нечіткої логіки та його дискретизація.
Development of a Smart Material Resource Planning System in the Context of Warehouse 4.0 Oleksandr Sokolov, Angelina Iakovets, Vladyslav Andrusyshyn, Justyna Trojanowska Eng, 2024 This study explores enhancing decision-making processes in inventory management and production operations by integrating a developed system. The proposed solution improves the decision-making process, managing the material supply of the product and inventory management in general. Based on the researched issues, the shortcomings of modern enterprise resource planning systems (ERPs) were considered in the context of Warehouse 4.0. Based on the problematic areas of material accounting in manufacturing enterprises, a typical workplace was taken as a basis, which creates a gray area for warehouse systems and does not provide the opportunity of quality-managing the company’s inventory. The main tool for collecting and processing data from the workplace was the neural network. A mobile application was proposed for processing and converting the collected data for the decision-maker on material management. The YOLOv8 convolutional neural network was used to identify materials and production parts. A laboratory experiment was conducted using 3D-printed models of commercially available products at the SmartTechLab laboratory of the Technical University of Košice to evaluate the system’s effectiveness. The data from the network evaluation was obtained with the help of the ONNX format of the network for further use in conjunction with the C++ OpenCV library. The results were normalized and illustrated by diagrams. The designed system works on the principle of client–server communication; it can be easily integrated into the enterprise resource planning system. The proposed system has potential for further development, such as the expansion of the product database, facilitating efficient interaction with production systems in accordance with the circular economy, Warehouse 4.0, and lean manufacturing principles.
STUDY ON THE PIECEWISE CONSTANT CURVATURE KINEMATIC MODEL OF A TWO-SEGMENT ROBOT , OLEKSANDR SOKOLOV, ALEXANDER HOSOVSKY, , SERHII SOKOLOV, , BRANISLAV PITEL, and Mm Science Journal, 2024 This study presents the Piecewise Constant Curvature (PCC) kinematic model of a two-segment continuum robot, offering a clear and illustrative approach to deriving the kinematics of a soft manipulator. Analytical expressions are developed to relate the endpoint positions of the robot’s pneumatic arm segments to the lengths of its pneumatic muscles. The kinematic model has two contrasting features: it is general enough to be applicable for various continuum robot arms, yet it does not account for specific structural details, requiring adaptation for different soft robot designs. The step-by-step methodology, visual clarity, and extension of the PCC model to a two-segment robot distinguish this research from existing studies. This approach can be extended to multi-segment soft manipulators, offering a valuable framework for further exploration in the field.
Tracking and Analysis of Soft Robotic O Sokolov, AI Ján Pitel, S Sokolov The 3rd EAI International Conference on Automation and Control in Theory and … , 2026 2026
Optimization of Soft Actuator Control in a Continuum Robot O Sokolov, S Sokolov, A Iakovets, M Malaga Actuators 14 (7), 352 , 2025 2025 Citations: 2
Modified Piecewise Constant Curvature Model for Two-Segment Soft Pneumatic Arm: A Case Study O Sokolov, B Pitel, S Sokolov, A Iakovets Design, Simulation, Manufacturing: The Innovation Exchange, 70-80 , 2025 2025 Citations: 1
Automation of a laboratory electric autoclave using a programmable logic controller OV Radchuk, MY Savchenko, SV Sokolov, OS Sokolov Journal of Chemistry and Technologies 33 (1), 239-248 , 2025 2025 Citations: 4
Intelligent Human–Robot Interaction Assistant for Collaborative Robots O Sokolov, V Andrusyshyn, A Iakovets, V Ivanov Electronics 14 (6), 1160 , 2025 2025 Citations: 7
A Unified Framework for Real-Time Tracking and Analysis of Soft Robotic Motion O Sokolov, J Piteľ, A Iakovets, S Sokolov, P Leontiev EAI International Conference on Automation and Control in Theory and … , 2025 2025
Model-Based Control Design for a Pneumatically Actuated Cartesian Manipulator L Sulska, O Sokolov, V Andrusyshyn, M Malaga, P Raška Západočeská univerzita v Plzni , 2025 2025
Study on the Piecewise Constant Curvature Kinematic Model of a Two-Segment Robot O Sokolov, A Hosovsky, S Sokolov, B Pitel MM Sci. J, 8011-8018 , 2024 2024 Citations: 2
Development of a smart material resource planning system in the context of warehouse 4.0 O Sokolov, A Iakovets, V Andrusyshyn, J Trojanowska Eng 5 (4), 2588-2609 , 2024 2024 Citations: 11
Hysteresis Compensation of Pneumatic Artificial Muscles Using Correctional Curve Offset: Case Study O Sokolov, S Csikos, A Hosovsky, J Sarosi, S Serhii Advances in Design, Simulation and Manufacturing VII: Proceedings of the 7th … , 2024 2024 Citations: 2
Identification of Friction in the Joints of an Experimental Manipulator with 3-DOF Based on MLPnetworks T Čakurda, M Trojanová, A Hošovský, P Pomin, O Sokolov EAI International Conference on Automation and Control in Theory and … , 2024 2024
Hybrid control system: Integration of sensors and controllers using MQTT and Modbus-RT O Sokolov Západočeská univerzita v Plzni , 2024 2024
Design, modelling, and control of continuum arms with pneumatic artificial muscles: A review O Sokolov, A Hošovský, M Trojanová Machines 11 (10), 936 , 2023 2023 Citations: 24
A Digital Twin of the Soft Robot with a Pneumatic Muscle Actuator I Sokolov, O. , Hosovsky, A. , Ciszak, O. , Ivanov, V. , Pavlenko Intelligent Systems in Production Engineering and Maintenance III, 280–292 , 2023 2023 Citations: 6
Digital and information technologies in metrology 4.0 M Wieczorowski, J Trojanowska, O Sokolov Design, Simulation, Manufacturing: The Innovation Exchange, 81-90 , 2023 2023 Citations: 9
Improving the Performance of Grey-Box Model of 3-DOF Compliant Robotic Arm with Fluidic Muscles T Čakurda, M Trojanová, A Hošovský, O Sokolov EAI International Conference on Automation and Control in Theory and … , 2023 2023 Citations: 1
Movement monitoring system for a pneumatic muscle actuator OS Sokolov, A Hosovsky, VO Ivanov, IV Pavlenko Sumy State University , 2023 2023 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Design, modelling, and control of continuum arms with pneumatic artificial muscles: A review O Sokolov, A Hošovský, M Trojanová Machines 11 (10), 936 , 2023 2023 Citations: 24
Development of a smart material resource planning system in the context of warehouse 4.0 O Sokolov, A Iakovets, V Andrusyshyn, J Trojanowska Eng 5 (4), 2588-2609 , 2024 2024 Citations: 11
Digital and information technologies in metrology 4.0 M Wieczorowski, J Trojanowska, O Sokolov Design, Simulation, Manufacturing: The Innovation Exchange, 81-90 , 2023 2023 Citations: 9
Intelligent Human–Robot Interaction Assistant for Collaborative Robots O Sokolov, V Andrusyshyn, A Iakovets, V Ivanov Electronics 14 (6), 1160 , 2025 2025 Citations: 7
A Digital Twin of the Soft Robot with a Pneumatic Muscle Actuator I Sokolov, O. , Hosovsky, A. , Ciszak, O. , Ivanov, V. , Pavlenko Intelligent Systems in Production Engineering and Maintenance III, 280–292 , 2023 2023 Citations: 6
Automation of a laboratory electric autoclave using a programmable logic controller OV Radchuk, MY Savchenko, SV Sokolov, OS Sokolov Journal of Chemistry and Technologies 33 (1), 239-248 , 2025 2025 Citations: 4
Movement monitoring system for a pneumatic muscle actuator OS Sokolov, A Hosovsky, VO Ivanov, IV Pavlenko Sumy State University , 2023 2023 Citations: 3
Optimization of Soft Actuator Control in a Continuum Robot O Sokolov, S Sokolov, A Iakovets, M Malaga Actuators 14 (7), 352 , 2025 2025 Citations: 2
Study on the Piecewise Constant Curvature Kinematic Model of a Two-Segment Robot O Sokolov, A Hosovsky, S Sokolov, B Pitel MM Sci. J, 8011-8018 , 2024 2024 Citations: 2
Hysteresis Compensation of Pneumatic Artificial Muscles Using Correctional Curve Offset: Case Study O Sokolov, S Csikos, A Hosovsky, J Sarosi, S Serhii Advances in Design, Simulation and Manufacturing VII: Proceedings of the 7th … , 2024 2024 Citations: 2
Modified Piecewise Constant Curvature Model for Two-Segment Soft Pneumatic Arm: A Case Study O Sokolov, B Pitel, S Sokolov, A Iakovets Design, Simulation, Manufacturing: The Innovation Exchange, 70-80 , 2025 2025 Citations: 1
Improving the Performance of Grey-Box Model of 3-DOF Compliant Robotic Arm with Fluidic Muscles T Čakurda, M Trojanová, A Hošovský, O Sokolov EAI International Conference on Automation and Control in Theory and … , 2023 2023 Citations: 1
Tracking and Analysis of Soft Robotic O Sokolov, AI Ján Pitel, S Sokolov The 3rd EAI International Conference on Automation and Control in Theory and … , 2026 2026
A Unified Framework for Real-Time Tracking and Analysis of Soft Robotic Motion O Sokolov, J Piteľ, A Iakovets, S Sokolov, P Leontiev EAI International Conference on Automation and Control in Theory and … , 2025 2025
Model-Based Control Design for a Pneumatically Actuated Cartesian Manipulator L Sulska, O Sokolov, V Andrusyshyn, M Malaga, P Raška Západočeská univerzita v Plzni , 2025 2025
Identification of Friction in the Joints of an Experimental Manipulator with 3-DOF Based on MLPnetworks T Čakurda, M Trojanová, A Hošovský, P Pomin, O Sokolov EAI International Conference on Automation and Control in Theory and … , 2024 2024
Hybrid control system: Integration of sensors and controllers using MQTT and Modbus-RT O Sokolov Západočeská univerzita v Plzni , 2024 2024