International Journal For Multidisciplinary Research

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Robotic Swarms: Decentralized Control and Emergent Behaviour

Author(s) M. Vivekananda Swamy
Country India
Abstract This study explores the world of robotic swarms, looking at their distributed control systems and the formation of intelligent behaviours. The paper demonstrates how decentralized control allows robotic swarms to independently decide locally while encouraging behaviours like flocking, exploration, and task distribution. These behaviours reveal how swarm systems are flexible and scalable, particularly in dynamic environments. The effects are wide-ranging and include uses in agriculture, disaster readiness, surveillance, and environmental monitoring. Robotic swarms led by decentralized control have a lot of potential to improve automation and robustness in practical settings. The study does, however, highlight the need for continued research in algorithm design to strike a balance between individual autonomy and group collaboration. When using robotic swarms, security measures and ethical considerations are crucial factors. By providing options for additional investigation and experimentation with robotic swarms as a platform for teaching and developing the subject, this research makes a positive contribution to the robotics research. Overall, the results highlight the potential and difficulties of distributed control in robotic swarms, as well as its broad impact on a variety of fields of study.
Keywords Swarms, Decentralized control, Emergent behaviour, Algorithms.
Field Engineering
Published In Volume 5, Issue 5, September-October 2023
Published On 2023-10-11
Cite This Robotic Swarms: Decentralized Control and Emergent Behaviour - M. Vivekananda Swamy - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.7360
DOI https://doi.org/10.36948/ijfmr.2023.v05i05.7360
Short DOI https://doi.org/gsv6jw
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