Artificial Intelligence for Intelligent Robotics: Bridging Theory and Application

Abstract

Abstract
Artificial Intelligence (AI) has become a cornerstone in revolutionizing robotics, offering transformative potential in both theoretical frameworks and practical applications. The integration of AI algorithms into robotics systems has enabled machines to perform tasks that were once considered exclusive to human capabilities, such as perception, decision-making, and autonomous navigation. This paper aims to explore the synergy between AI and robotics, emphasizing how AI techniques such as machine learning, deep learning, and computer vision have bridged the gap between theoretical research and real-world robotic applications. By analyzing case studies and current advancements in intelligent robotics, this work highlights the evolving landscape of AI-driven robots across industries like healthcare, manufacturing, and autonomous vehicles. Furthermore, the challenges and future directions for AI in robotics are discussed, particularly in areas related to ethics, adaptability, and human-robot collaboration. The study concludes with a forward-looking perspective on how AI will continue to shape the next generation of intelligent robots, enhancing both their autonomy and ability to interact with human environments.