Swarm Intelligence in Mobile Robots: a study on Definition, Design, Explanation, and Use Cases

EasyChair Preprint 16002

Abstract

Swarm Intelligence is a fascinating field of study within the broader discipline of Artificial Intelligence. It refers to the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed by algorithms and computational models inspired by the behavior of social insects such as ants, bees, wasps, and termites, which are known for their ability to solve complex problems through simple interactions.  Swarm Intelligence (SI), inspired by collective behaviors in nature such as ant colonies and bird flocks, enables decentralized coordination among groups of mobile robots to solve complex tasks through self-organization and local interactions. This paradigm shift from centralized control to distributed systems offers scalability, adaptability, and robustness, making it ideal for dynamic real-world applications. Despite its potential, challenges such as energy constraints, communication latency, and ethical concerns around security and privacy persist. This article explores the principles, technological advancements, and transformative applications of SI in mobile robotics, while addressing current limitations and future directions, including AI integration and bio-hybrid systems. By bridging biological inspiration with engineering innovation, swarm intelligence in mobile robots promises to revolutionize industries, offering scalable solutions to global challenges while demanding interdisciplinary collaboration for responsible deployment.

Keyphrases: Swarm Intelligence, mobile robots, mobile robots communication, robot design

@booklet{EasyChair:16002,
  author    = {Mohamed Fezari and Ali Al-Dahoud},
  title     = {Swarm Intelligence in Mobile Robots: a study on Definition, Design, Explanation, and Use Cases},
  howpublished = {EasyChair Preprint 16002},
  year      = {EasyChair, 2025}}