SWARM ROBOTICS: A NATURE-INSPIRED APPROACH TO AI SYSTEMS

Abstract

In recent years, artificial intelligence (AI) has drawn immense inspiration from nature, leading to the emergence of innovative paradigms that mimic biological processes. Among these, swarm robotics stands out as a dynamic and promising approach, rooted in the collective behavior observed in natural swarms such as ants, bees, birds, and fish. By leveraging decentralized control, simple rules, and local interactions, swarm robotics offers a powerful solution to complex tasks in uncertain and dynamic environments. Swarm robotics is an emerging field that draws inspiration from the collective behavior of social organisms such as ants, bees, and birds to design decentralized, robust, and scalable multi-robot systems. Unlike traditional robotics, swarm robotics emphasizes autonomy, simplicity, and local interaction to achieve complex global behaviors. This paper provides a comprehensive overview of swarm robotics as a nature-inspired AI paradigm, discussing its foundational principles, current applications, associated challenges, and potential future directions.