AI Swarm Drones

Authors

  • Digvijay Abhiman Sathe  Department of Computer Engineering (Data Science), Savitribai Phule Pune University, Zeal College of Engineering and Research, Narhe, Pune-411041, Maharashtra, India
  • Prof. Amol Bhosale   Department of Computer Engineering (Data Science), Savitribai Phule Pune University, Zeal College of Engineering and Research, Narhe, Pune-411041, Maharashtra, India

Keywords:

Swarm, Technology, PSO.

Abstract

This paper proposes Idea and importance of a swarm of drones. In the study, inspired by the swarms in nature, drones look for the target by sensing the surrounding and communicating with each other for collision avoidance and effective co-ordination. The position for each drone is implemented using the particle swarm optimization algorithm as the swarm intelligence (A swarm-based optimization algorithm), as well as a model for the drones to take the real-world environment into consideration. In addition, the system is processed in real time along with the movements of the drones. The effectiveness of the proposed system was verified through repeated test simulations studied from various studies, including a benchmark function optimization and air pollutant search problems. The results show that the proposed system is highly practical, accurate, and robust.

References

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  4. T. Cieslewski, S. Choudhary, and D. Scaramuzza, “Data-efficient decentralized visual SLAM,” Proc. IEEE Int. Conf. Robot. Autom., 2018.
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International Journal of Scientific Research in Science and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Digvijay Abhiman Sathe, Prof. Amol Bhosale "AI Swarm Drones" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 2, pp.541-544, March-April-2022.