Swarming dynamics describes the collective behavior observed in groups of entities, whether animals, insects, or artificial agents, as they move together in a synchronized manner. Through simple local interactions, individuals within the swarm exhibit emergent behaviors such as flocking or schooling, without the need for centralized control. This phenomenon finds applications across diverse fields, including robotics and biology, where researchers explore swarming algorithms for tasks such as collective transport and navigation. Understanding swarming dynamics involves analyzing how individual interactions give rise to complex collective patterns. By leveraging these principles, researchers strive to design efficient and scalable systems for various applications, from distributed sensing to disaster response and urban planning.