Experimental studies of the use of artificial intelligence in the robot-robot system

Experimental studies of the use of artificial intelligence in the robot-robot system

Vyacheslav E. Vavilov, Doctor of Engineering Sciences, Associate Professor, Professor, Director, Ufa University of Science and Technology, Advanced Engineering School «Motors of the Future», 12, ul. K. Marksa, Ufa, Rep. Bashkortostan, 450008, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., SPIN-код: 4825-0915

Aigul A. Khusainova, Deputy Director for Economic Research and Marketing, Ufa University of Science and Technology, Advanced Engineering School «Motors of the Future», 12, ul. K. Marksa, Ufa, Rep. Bashkortostan, 450008, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Bogdan V. Galitskov, Master’s Degree Student, Ufa University of Science and Technology, Institute of Informatics, Mathematics and Robotics (IIMRT), 12, ul. K. Marksa, Ufa, Rep. Bashkortostan, 450008, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Oleg M. Akhunov, Master’s Degree Student, Ufa University of Science and Technology, IIMRT, 12, ul. K. Marksa, Ufa, Rep. Bashkortostan, 450008, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Maxim S. Maximov, Student, Ufa University of Science and Technology, IIMRT, 12, ul. K. Marksa, Ufa, Rep. Bashkortostan, 450008, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Vladislav A. Nugaev, Master’s Degree Student, Ufa University of Science and Technology, IIMRT, 12, ul. K. Marksa, Ufa, Rep. Bashkortostan, 450008, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Ravil R. Khaziev, Student, Ufa University of Science and Technology, IIMRT, 12, ul. K. Marksa, Ufa, Rep. Bashkortostan, 450008, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

UDC identifier: 004.8:007.52

EDN: WQXXDF

Abstract. Within the framework of the article, the methodology of the experiment of the interaction of the robot–robot system under the control of artificial intelligence is presented and an artificial experimental robosphere is implemented under the control of the infosphere. The robosphere in the article refers to an artificially created ecosystem of joint autonomous functioning and decision-making capabilities using artificial intelligence of robots, unmanned aerial vehicles, unmanned vehicles, automated unmanned production facilities and electric propulsion devices integrated into a single information and power supply systems, as well as communication systems. The results and progress of experimental studies of autonomous interaction of the robot-robot system are also presented in the article. In addition, the article develops a simulation model of such interaction and compares the results of the experiment with the results of simulation modeling. The choice of neural network architecture for such interactions is justified.

Key words: artificial intelligence, robosphere, autonomous robot-robot interaction

For citation: Vavilov, V.E., Khusainova, A.A., Galitskov, B.V., Akhunov, O.M. et al. (2026), "Experimental studies of the use of artificial intelligence in the robot-robot system", Robotics and Technical Cybernetics, vol. 14, no. 1, pp. 48-56, EDN: WQXXDF. (in Russian).

Acknowledgements
The project was implemented with the support of ETK LLC.

References

  1. Keating, S.J., Leland, J.C., Cai, L. and Oxman, N. (2017), "Toward site-specific and self-sufficient robotic fabrication on architectural scales", Science Robotics, vol. 2, no. 5, 2017, DOI: 10.1126/scirobotics.aam8986
  2. Jacobstein, N., Bellingham, J. and Yang, G.-Z. (2017), "Robotics for space and marine sciences", Science Robotics, vol. 2, no. 1, DOI: 10.1126/scirobotics.aan5594
  3. Laschi, C., Mazzolai, B. and Cianchetti, M. (2016), "Soft robotics: Technologies and systems pushing the boundaries of robot abilities", Science Robotics, vol. 1, no. 1, DOI: 10.1126/scirobotics.aah3690
  4. Hawkes, E.W., Blumenschein, L.H., Greer, J.D. and Okamura, A.M. (2017), "A soft robot that navigates its environment through growth", Science Robotics, vol. 2, no. 8, pp. eaan3028, DOI: 10.1126/scirobotics.aan3028
  5. Terryn, J. Brancart, D. Lefeber, G. Van Assche and Vanderborght, B. (2017), "Self-healing soft pneumatic robots", Science Robotics, vol. 2, no. 9, pp. eaan4268, DOI: 10.1126/scirobotics.aan4268
  6. Keller, E.G., Laubscher, C.A. and Gregg, R.D. (2023), "Gait Event Detection with Proprioceptive Force Sensing in a Powered Knee-Ankle Prosthesis: Validation over Walking Speeds and Slopes," 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, pp. 10464-10470, DOI: 10.1109/ICRA48891.2023.10161102
  7. Yang, G.-Z. et al. (2018), "The grand challenges of science robotics", Science Robotics, vol. 3, no. 14, DOI: 10.1126/scirobotics.aar7650
  8. Mikołajczyk, T. et al. (2023), "Energy Sources of Mobile Robot Power Systems: A Systematic Review and Comparison of Efficiency", Sc., vol. 13, no. 13, pp. 7547, DOI: 10.3390/app13137547
  9. Rubio, F., Valero, F. and Llopis-Albert, C. (2019), "A review of mobile robots: Concepts methods theoretical framework and applications", International Journal of Advanced Robotic Systems, vol. 16, no. 2, 16(2):172988141983959, DOI:10.1177/1729881419839596
  10. Ballestar, M.T., Díaz-Chao, Á., Sainz, J. and Torrent-Sellens, J. (2020), "Knowledge, robots and productivity in SMEs: Explaining the second digital wave", Journal of Business Research, vol. 108, pp. 119-131, DOI: 10.1016/j.jbusres.2019.11.017
  11. Gul, O.M. and Erkmen, A.M. (2020), "Energy-efficient cluster-based data collection by a UAV with a limited-capacity battery in robotic wireless sensor networks", Sensors, vol. 20, no. 20, pp. 5865, DOI: 10.3390/s20205865
  12. Chen, T., Chen, J., Gao, X. and Chen, T. (2022), "Mobile charging strategy for wireless rechargeable sensor networks", Sensors, vol. 22, pp. 359-382, DOI: 10.3390/s22010359
  13. Omdia (2024), “Global humanoid robot shipments to exceed 10,000 units by 2027 and reach 38,000 units in 2030”, available at: https://omdia.tech.informa.com/pr/2024/jul/omdia-global-humanoid-robot-shipments-to-exceed-10000-units-by-2027-and-reach-38000-units-in-2030 (Accessed 12 October 2024).
  14. Colombano, S. (2003), "Robosphere: Self-sustaining robotic ecologies as precursors to human planetary exploration", AIAA Space 2003 Conference & Exposition, Long Beach, California, pp. 6278, DOI: 10.2514/6.2003-6278
  15. Nenghao, H., Taibo, L., Hongwei, L. and Lei, X. (2022), "Modeling and Simulation Analysis of Energy Self-sustainment Behavior Decision in Robot Ecosphere", 2022 International Conference on Service Robotics (ICoSR), Chengdu, China, pp. 10-14, DOI: 10.1109/ICoSR57188.2022.00012
  16. Vavilov, V.E. (2024), “The concept of creating robots and the robosphere”, Proceedings of the XIX All-Russian Scientific and Practical Conference Advanced Systems and Control Problems, April 1-5, Dombaj, Russia, pp. 223-236. (in Russian).
  17. Chen, B.L., Hall, D.H. and Chklovskii, D.B.(2006), “Wiring optimization can relate neuronal structure and function”, Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 12, pp. 4723–4728, DOI: 10.1073/pnas.0506806103

Received 11.11.2024
Revised 15.06.2025
Accepted 25.08.2025