Editor's Preview: Robotics and Automation, Computer Science, and Artificial Intelligence

Abstract

This thematic issue highlights the convergence of robotics and automation, computer science, and artificial intelligence as the foundation of modern intelligent systems. Advances in robotic design, control systems, and autonomous operation continue to expand the capabilities of automated technologies across diverse sectors. Concurrently, developments in computer science—including algorithmic innovation, distributed systems, and secure computing—provide the essential infrastructure that supports complex and scalable digital solutions. Artificial intelligence strengthens this ecosystem through machine learning, deep learning, and data-driven decision-making, enabling enhanced perception, prediction, and adaptability. Together, these fields drive transformative progress in industrial automation, smart systems, human–robot collaboration, and intelligent applications. This issue brings together research contributions that address theoretical advancements, practical implementations, and interdisciplinary perspectives, offering insight into the evolving landscape of intelligent and autonomous technologies.