Review for Collective Problem-Solving by a Group of Robots
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Keywords

Mobile Robot, Adaptation, Robot Control System, Manufacturing Innovation, Industrial Innovation

How to Cite

Review for Collective Problem-Solving by a Group of Robots . (2024). Journal of Universal Science Research, 2(6), 7-16. https://universalpublishings.com/~niverta1/index.php/jusr/article/view/6134

Abstract

This article discusses the relevance of using a group of robots to solve various problems. It was also revealed that despite the obvious advantages of this approach, it causes certain problems in its implementation. The authors address some of these problems and offer possible solutions to them.

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DOI

References

Abu-Jassar, A., & et al. (2024). The Optical Flow Method and Graham’s Algorithm Implementation Features for Searching for the Object Contour in the Mobile Robot’s Workspace. Journal of Universal Science Research, 2(3), 64-75.

Stetsenko, K., & et al. (2023). Exploring BEAM Robotics for Adaptive and Energy-Efficient Solutions. Multidisciplinary Journal of Science and Technology, 3(4), 193-199.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2021). Neural networks as a tool for pattern recognition of fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160.

Matarneh, R., Maksymova, S., Deineko, Z., & Lyashenko, V. (2017). Building robot voice control training methodology using artificial neural net. International Journal of Civil Engineering and Technology, 8(10), 523-532.

Maksymova, S., Matarneh, R., Lyashenko, V. V., & Belova, N. V. (2017). Voice Control for an Industrial Robot as a Combination of Various Robotic Assembly Process Models. Journal of Computer and Communications, 5, 1-15.

Lyashenko, V., & et al. (2023). Automated Monitoring and Visualization System in Production. Int. Res. J. Multidiscip. Technovation, 5(6), 09-18.

Borysov, H., & Maksymova, S. (2023). Parameters for Mobile Robot Kinematic Model Development Determination. Multidisciplinary Journal of Science and Technology, 3(4), 85-91.

Basiuk, V., & et al. (2023). Mobile Robot Position Determining Using Odometry Method. Multidisciplinary Journal of Science and Technology, 3(3), 227-234.

Igor, N., & et al. (2023). Using Mecanum Wheels for Radio Shuttle. Multidisciplinary Journal of Science and Technology, 3(3), 182-187.

Nevliudov, I., & et al. (2023). Mobile Robot Navigation System Based on Ultrasonic Sensors. In 2023 IEEE XXVIII International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), IEEE, 1, 247-251.

Igor, N., & et al. (2023). Automated Logistics Processes Improvement in Logistics Facilities. Multidisciplinary Journal of Science and Technology, 3(3), 157-170.

Nevliudov, I., & et al. (2023). Features of Wave Algorithm Application in Warehouse Logistics Transport Systems. Information systems in project and program managemen: Collective monograph edited by I. Linde, European University Press. Riga: ISMA, 251-261.

Sotnik, S., & Lyashenko, V. (2022). Prospects for Introduction of Robotics in Service. Prospects, 6(5), 4-9.

Ahmad, M. A., Sinelnikova, T., Lyashenko, V., & Mustafa, S. K. (2020). Features of the construction and control of the navigation system of a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(4), 1445-1449.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2023). Generalized Procedure for Determining the Collision-Free Trajectory for a Robotic Arm. Tikrit Journal of Engineering Sciences, 30(2), 142-151.

Al-Sharo Y., & et al. (2023). A Robo-hand prototype design gripping device within the framework of sustainable development. Indian Journal of Engineering, 2023, 20, e37ije1673.

Lyashenko, V., Laariedh, F., Ayaz, A. M., & Sotnik, S. (2021). Recognition of Voice Commands Based on Neural Network. TEM Journal: Technology, Education, Management, Informatics, 10(2), 583-591.

Jin, Y., & et al. (2021). Development status and trend of agricultural robot technology. International Journal of Agricultural and Biological Engineering, 14(4), 1-19.

Oliveira, L. F., & et al. (2021). Advances in agriculture robotics: A state-of-the-art review and challenges ahead. Robotics, 10(2), 52.

Sparrow, R., & Howard, M. (2021). Robots in agriculture: prospects, impacts, ethics, and policy. precision agriculture, 22, 818-833.

Maksymova, S., & et al. (2023). Prosthetic Hand 3d Model Development. Multidisciplinary Journal of Science and Technology, 3(5), 147-156.

Yevsieiev, V., & et al. (2022). A robotic prosthetic a control system and a structural diagram development. Collection of scientific papers «ΛΌГOΣ», Zurich, Switzerland, 113-114.

Bortnikova, V., & et al. (2019). Structural parameters influence on a soft robotic manipulator finger bend angle simulation. In 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM), IEEE, 35-38.

Maksymova, S., & et al. (2017). Software for Voice Control Robot: Example of Implementation. Open Access Library Journal, 4(8), 1–12.

Lyashenko, V., & et al.. (2021). Wavelet ideology as a universal tool for data processing and analysis: some application examples. International Journal of Academic Information Systems Research (IJAISR), 5(9), 25-30.

Vasiurenko, O., Lyashenko, V., Baranova, V., & Deineko, Z. (2020). Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine. Journal of Asian Multicultural Research for Economy and Management Study, 1(2), 1-6.

Lyashenko, V., Ahmad, M. A., Sotnik, S., Deineko, Z., & Khan, A. (2018). Defects of communication pipes from plastic in modern civil engineering. International Journal of Mechanical and Production Engineering Research and Development, 8(1), 253-262.

Khan, A., Joshi, S., Ahmad, M. A., & Lyashenko, V. (2015). Some effect of Chemical treatment by Ferric Nitrate salts on the structure and morphology of Coir Fibre Composites. Advances in Materials Physics and Chemistry, 5(1), 39-45.

Kuzemin, A., & Lyashenko, V. (2009). Methods of comparative analysis of banks functioning: classic and new approaches. Information Theories & Applications, 16(4), 384-396.

Mustafa, S. K., Yevsieiev, V., Nevliudov, I., & Lyashenko, V. (2022). HMI Development Automation with GUI Elements for Object-Oriented Programming Languages Implementation. SSRG International Journal of Engineering Trends and Technology, 70(1), 139-145.

Nevliudov, I., Yevsieiev, V., Lyashenko, V., & Ahmad, M. A. (2021). GUI Elements and Windows Form Formalization Parameters and Events Method to Automate the Process of Additive Cyber-Design CPPS Development. Advances in Dynamical Systems and Applications, 16(2), 441-455.

Deineko, Zh., & et al.. (2021). Features of Database Types. International Journal of Engineering and Information Systems (IJEAIS), 5(10), 73-80.

Khan, A., Ahmad, M., Joshi, S., & Lyashenko, V. (2016). Synthesis of Alumina Fibre by Annealing Method using Coir Fibre. American Chemical Science Journal, 15(2), 1-7.

Kuzomin, O., Lyashenko, V., Dudka, O., Radchenko, V., & Vasylenko, O. (2020). Using of ontologies for building databases and knowledge bases for consequences management of emergency. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 5040-5045.

Mustafa, S. K., & et al.. (2021). Some aspects of modeling in the study of COVID-19 data. International Journal of Pharmaceutical Research, 4124-4129.

Sebo, S., & et al. (2020). Robots in groups and teams: a literature review. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2), 1-36.

Hichri, B., & et al. (2022). Mobile robots path planning and mobile multirobots control: A review. Robotica, 40(12), 4257-4270.

Madridano, Á., & et al. (2021). Trajectory planning for multi-robot systems: Methods and applications. Expert Systems with Applications, 173, 114660.

Feng, Z., & et al. (2020). An overview of collaborative robotic manipulation in multi-robot systems. Annual Reviews in Control, 49, 113-127.

Wilson, S., & et al. (2020). The robotarium: Globally impactful opportunities, challenges, and lessons learned in remote-access, distributed control of multirobot systems. IEEE Control Systems Magazine, 40(1), 26-44.

Tian, Y., & et al. (2022). Kimera-multi: Robust, distributed, dense metric-semantic slam for multi-robot systems. IEEE Transactions on Robotics, 38(4).

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