Cellular automata are discrete, rule-based systems that exhibit complex behavior emerging from simple local interactions. This paper explores the foundational principles of cellular automata and their applications in unconventional computing paradigms, including the modeling of natural phenomena, emergent computation, and robotics. We highlight how cellular automata systems provide a versatile framework for solving computational problems beyond traditional architectures, leveraging their inherent parallelism, adaptability, and scalability. Furthermore, we examine their potential in robotics for decentralized control and swarm behavior, emphasizing their role in advancing unconventional computation.