Issue |
E3S Web Conf.
Volume 505, 2024
3rd International Conference on Applied Research and Engineering (ICARAE2023)
|
|
---|---|---|
Article Number | 03013 | |
Number of page(s) | 8 | |
Section | Modelling and Numerical Analysis | |
DOI | https://doi.org/10.1051/e3sconf/202450503013 | |
Published online | 25 March 2024 |
A review: Swarm Robotics: Cooperative Control in Multi-Agent Systems
1 Institute of Aeronautical Engineering, Dundigal, Hyderabad, India
2 Department of Automobile Engineering, New Horizon College of Engineering, Bangalore, India
3 Lovely Professional University, Phagwara, India
4 Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, India
5 Lloyd Institute of Management and Technology, Plot No.-11, Knowledge Park-II, Greater Noida, Uttar Pradesh, India - 201306
6 College of Engineering Technology, National University of Science and Technology, Dhi Qar, Iraq
* Corresponding author: bssmitha.au@gmail.com
Swarm robotics epitomizes a frontier in cooperative control within multi-agent systems, where the emulation of biological swarms offers a paradigm shift in robotics. This paper delves into the mechanisms of decentralized decision-making and the emergent behaviors that arise from local interactions among autonomous robotic agents without the need for a central controller. It explores the synthesis of simple control rules that yield complex, adaptive, and scalable group behaviors, akin to those found in natural swarms. A critical examination of communication protocols elucidates how information-sharing among agents leads to the robust execution of collective tasks. The research further investigates the dynamics of role allocation, task partitioning, and redundancy, which are crucial for the resilience of swarm robotic systems. Through simulation and empirical analysis, the efficacy of swarm algorithms in various applications, including search and rescue, environmental monitoring, and collective construction, is demonstrated. The study's findings underscore the significance of bio-inspired algorithms and the potential of swarm robotic systems to adapt and thrive in unpredictable environments. The implications for the future of autonomous systems are profound, as swarm robotics paves the way for innovations in distributed artificial intelligence and robotic.
Key words: Swarm Robotics / Cooperative Control / Multi-Agent Systems / Decentralized Decision-Making / Bio-Inspired Algorithms
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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