Author: Amitesh Rawal, Sneha Krishnan
Abstract : The field of swarm robotics and multi-agent systems has seen significant growth due to their vast applications in exploration, surveillance, environmental monitoring, and collaborative manufacturing. These systems, inspired by biological phenomena such as ant colonies and bird flocking, rely on local interaction rules and decentralized decision-making. Swarm robotics emphasizes scalability, fault tolerance, and collective behavior, while multi-agent systems focus on agents' coordination and goal fulfillment. This paper explores the architecture, communication strategies, real-world applications, benefits, and challenges associated with these technologies. Emphasis is given to key enabling technologies including artificial intelligence, wireless communication, and sensor networks. Tables and case studies illustrate how swarm behavior is implemented in current research. This review provides insights into future trends and integration potentials in dynamic, complex environments.
Keywords: Swarm Robotics, Multi-Agent Systems, Decentralized Control, Artificial Intelligence, UAV, Communication Protocols
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