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Paper ID:IJSREM67945

Multi Robot Coordination For Swarm Robotics

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67945

Volume:

10 |

10 |

Oct 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67945

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PB

Patil Bhavesh

E&TC

JSPM’s Bhivrabai Sawant Polytechnic

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PN

Pawar Nakul

E&TC

JSPM’s Bhivrabai Sawant Polytechnic

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SP

Sodanwar Paras

E&TC

JSPM’s Bhivrabai Sawant Polytechnic

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PV

Pande Vighnesh

E&TC

JSPM’s Bhivrabai Sawant Polytechnic

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DY

Deshmukh Y.V.

E&TC

JSPM’s Bhivrabai Sawant Polytechnic

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Abstract

Swarm robotics leverages the collective behavior of decentralized, self-organized systems to perform tasks that are too complex or time-consuming for a single autonomous agent. This project presents a framework for multi-robot coordination utilizing a robust master-slave architecture to ensure synchronized movement and task execution. At the core of each robotic unit is a PIC microcontroller, selected for its efficient processing capabilities, real-time control, and seamless integration with peripheral hardware. To achieve dynamic collaboration, the system relies on Radio Frequency (RF) communication to establish a reliable, low-latency network between the master controller and the slave robots. The master robot is responsible for processing high-level objectives and broadcasting precise navigational commands via RF modules. The slave robots receive these signals and drive their DC motors accordingly to maintain formation and execute localized movements. The embedded control logic and communication protocols are developed using C programming within the MPLAB environment, ensuring highly optimized, hardware-level execution. This coordinated approach demonstrates a scalable and fault-tolerant method for robotic collaboration, offering significant potential for real-world applications such as automated environmental exploration, search and rescue operations in hazardous environments, and decentralized industrial automation.

KEYWORDS

Multi-Robot Coordination Swarm Robotics Cooperative Control Distributed Algorithms Multi-Agent Systems Autonomous Navigation Task Allocation Collision Avoidance and Swarm Intelligence.

Cite This Article

Patil Bhavesh, Pawar Nakul, Sodanwar Paras, Pande Vighnesh, Deshmukh Y.V., "Multi Robot Coordination For Swarm Robotics," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-7, Oct 2026. https://doi.org/10.55041/IJSREM67945

Full Article/Conclusion

Multi-robot coordination in swarm robotics is a promising technique for improving the efficiency of multiple robots working together to perform complex tasks. A PIC microcontroller-based system using sensors, RF transmitter and receiver modules, motor drivers, and DC motors provides a practical platform for demonstrating cooperative robot movement and wireless communication. Its performance must be verified through controlled experiments measuring task completion rate, communication reliability, response time, collision avoidance, and power consumption. Further improvements in coordination algorithms, sensor accuracy, wireless communication, and energy management can enhance the reliability, scalability, and practical usefulness of the swarm robotics system.

References

[1] Brambilla, M., Ferrante, E., Birattari, M., Dorigo, M.: Swarm robotics: a review from the swarm engineering perspective. Swarm Intelligence 7 (2013) 1–41. https://doi.org/10.1007/s11721-012-0075-2 [2] Şahin, E.: Swarm robotics: From sources of inspiration to domains of application. In: Swarm Robotics, Lecture Notes in Computer Science, vol. 3342 (2005) 10–20. https://doi.org/10.1007/978-3-540-30552-1_2 [3] Dorigo, M., Birattari, M., Brambilla, M.: Swarm robotics. Scholarpedia 9(1) (2014) 1463. https://doi.org/10.4249/scholarpedia.1463 [4] Bayındır, L.: A review of swarm robotics tasks. Neurocomputing 172 (2016) 292–321. https://doi.org/10.1016/j.neucom.2015.05.116 [5] Sahin, E., Spears, W.M. (eds.): Swarm Robotics: SAB 2004 International Workshop. Lecture Notes in Computer Science, vol. 3342. Springer, Berlin (2005). https://doi.org/10.1007/978-3-540-30552-1 [6] Şahin, E., Winfield, A.F.T. (eds.): Special Issue on Swarm Robotics. Swarm Intelligence 2 (2008). [7] Parker, L.E.: Multiple mobile robot systems. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics. Springer, Berlin (2008) 921–941. https://doi.org/10.1007/978-3-540-30301-5_40 [8] Cao, Y.U., Fukunaga, A.S., Kahng, A.B.: Cooperative mobile robotics: Antecedents and directions. Autonomous Robots 4 (1997) 7–27. https://doi.org/10.1023/A:1008855018923 [9] Gerkey, B.P., Matarić, M.J.: A formal analysis and taxonomy of task allocation in multi-robot systems. The International Journal of Robotics Research 23(9) (2004) 939–954. https://doi.org/10.1177/0278364904045564 [10]  Matarić, M.J.: The Robotics Primer. MIT Press, Cambridge, MA (2007).

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Publication Date

10/15/2026

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Review Rounds: 2

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