METHOD OF COORDINATION OF MOTION OF SWARM ROBOTIC SYSTEMS

Authors

DOI:

https://doi.org/10.37943/13FEUH2535

Keywords:

robotic swarm, formation control, leader-follower, coordination

Abstract

Maintaining a specific geometric pattern is essential in various applications where groups of autonomous robots must follow a given path. Proper organization of the geometric pattern can lead to several benefits such as cost reduction, increased system reliability, and efficiency while providing a reconfigurable and flexible structure of the system. Military missions and traffic systems are examples where maintaining certain geometric patterns are widely used. However, little is known about how to develop an effective algorithm that guarantees collision avoidance and obstacle avoidance while maintaining the geometric pattern. This paper presents an algorithm for movement with a certain geometric structure of a group of autonomous mobile robots that maintains the required geometric pattern and ensures the avoidance of collisions and obstacles. The proposed algorithm is behavior-based and utilizes a set of rules that allow the robots to navigate around obstacles and avoid collisions. The algorithm's performance is demonstrated through simulations in a variety of scenarios with different numbers of robots and geometric patterns. The algorithm proposed in this paper provides an effective solution for controlling a group of autonomous mobile robots to maintain a certain geometric pattern. The proposed algorithm has the potential to be utilized in numerous applications where multiple robots must work together to achieve a common goal while maintaining a specific formation. The use of behavior-based approach and obstacle avoidance rules ensures that the robots avoid collisions and obstacles while maintaining the required pattern

Author Biographies

Abzal Kyzyrkanov, Astana IT University

Senior-lecturer of Department of Computer Engineering

Sabyrzhan Atanov, L.N. Gumilyov Eurasian National University

Full Professor of the Department of Computer and Software Engineering

Shadi Aljawarneh, Jordan University of Science and Technology

Full Professor of Software Engineering

Nazira Tursynova, L.N. Gumilyov Eurasian National University

Lecturer of the Department of Artificial Intelligence Technologies

Zhenis Otarbay, Astana IT University

PhD candidate, Department of Intellectual Systems and Cyber Security

Kymbat Khairosheva, Astana IT University

Master of Science, Teacher of the Department of Intelligent Systems and Cybersecurity

References

Lopes, L., Bodo, B., Rossi, C., Henley, S., Žibret, G., Kot-Niewiadomska, A., & Correia, V. (2020). ROBOMINERS–Developing a bio-inspired modular robot-miner for difficult to access mineral deposits. Advances in Geosciences, 54, 99-108. https://doi.org/10.5194/adgeo-54-99-2020

Kereyev, A.K., Atanov, S.K., Aman, K.P., Kulmagambetova, Z.K., & Kulzhagarova, B.T. (2020). Navigation system based on bluetooth beacons: Implementation and experimental estimation. Journal of Theoretical and Applied Information Technology, 98(8), 1187-1200.

Baimukhamedov, M.F., Moldamurat, K., & Akgul, M.K. (2019). Optimal control model of the automobile transport. In Transport Means-Proceedings of the International Conference (pp. 1312- 1316).

Yassein, M.B., Aljawarneh, S., & Al-Sadi, A. (2017, November). Challenges and features of IoT communications in 5G networks. In 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA) (pp. 1-5). IEEE. https://doi.org/10.1109/ICECTA.2017.8251989

Al-Husainy, M.A.F., Al-Shargabi, B., & Aljawarneh, S. (2021). Lightweight cryptography system for IoT devices using DNA. Computers and Electrical Engineering, 95, 107418. https://doi.org/10.1016/j. compeleceng.2021.107418

Sakhipov, A., & Yermaganbetova, M. (2022). An educational portal with elements of blockchain technology in higher education institutions of Kazakhstan: opportunities and benefits. Global Journal of Engineering Education, 24(2).

Dereli, S., & Köker, R. (2020). Simulation based calculation of the inverse kinematics solution of 7-DOF robot manipulator using artificial bee colony algorithm. SN Applied Sciences, 2, 1-11. https://doi.org/10.1007/s42452-019-1791-7

Ajeil, F.H., Ibraheem, I.K., Azar, A.T., & Humaidi, A.J. (2020). Grid-based mobile robot path planning using aging-based ant colony optimization algorithm in static and dynamic environments. Sensors, 20(7), 1880. https://doi.org/10.3390/s20071880

Li, F.F., Du, Y., & Jia, K.J. (2022). Path planning and smoothing of mobile robot based on improved artificial fish swarm algorithm. Scientific reports, 12(1), 659. https://doi.org/10.1038/s41598-021-04506-y

Berlinger, F., Gauci, M., & Nagpal, R. (2021). Implicit coordination for 3D underwater collective behaviors in a fish-inspired robot swarm. Science Robotics, 6(50), eabd8668. https://doi.org/10.1126/scirobotics.abd8668

Rubenstein, M., Cornejo, A., & Nagpal, R. (2014). Programmable self-assembly in a thousand-robot swarm. Science, 345(6198), 795-799. https://doi.org/10.1126/science.1254295

Martinez, F. (2020). Bacterial quorum sensing applied to the coordination of autonomous robot swarms. Bulletin of Electrical Engineering and Informatics, 9(1), 67-74. https://doi.org/10.11591/eei. v9i1.1538

Agarwal, D., & Bharti, P.S. (2021). Implementing modified swarm intelligence algorithm based on Slime moulds for path planning and obstacle avoidance problem in mobile robots. Applied Soft Computing, 107, 107372. https://doi.org/10.1016/j.asoc.2021.107372

Karpov, V. (2016). Models of social behaviour in the group robotics. Upravlenie Bol’shimi Sistemami, 59, 165-232.

Kyzyrkanov, A., Atanov, S., & Aljawarneh, S. (2021, November). Coordination of movement of multiagent robotic systems. In 2021 16th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE. https://doi.org/10.1109/ICECCO53203.2021.9663796

Das, B., Subudhi, B., & Pati, B. B. (2014). Adaptive sliding mode formation control of multiple underwater robots. Archives of control Sciences, 24(4), 515-543. http://dx.doi.org/10.2478%2Facsc-2014-0028

Ilichev, K.V., & Mancerov, S.A. (2017). Development of scalable mobile robot swarm interaction system. PNRPU Bulletin. Electrotechnics, Informational Technologies, Control Systems, (21), 91-108. 18.Hernandez-Martinez, E.G., & Bricaire, E.A. (2012). Non-collision conditions in multi-agent virtual leader-based formation control. International Journal of Advanced Robotic Systems, 9(4), 100. https://doi.org/10.5772/50722

Downloads

Published

2023-03-30

How to Cite

Kyzyrkanov, A., Atanov, S. A., Aljawarneh, S., Tursynova, N., Otarbay, Z., & Khairosheva, K. (2023). METHOD OF COORDINATION OF MOTION OF SWARM ROBOTIC SYSTEMS. Scientific Journal of Astana IT University, 13(13), 76–85. https://doi.org/10.37943/13FEUH2535

Issue

Section

Articles
betpas