A Comprehensive Review of Artificial Intelligence Techniques in Automation and Robotics

Abstract

Artificial Intelligence (AI) has significantly transformed the domains of automation and robotics, enabling systems to perform complex tasks with minimal human intervention. This review paper presents a comprehensive analysis of recent research contributions in AI-driven automation and robotics, focusing on machine learning, deep learning, human-robot interaction, and industrial applications. The selected studies highlight advancements in autonomous systems, robotic vision, and intelligent decision-making. A comparative analysis is conducted to identify key methodologies, performance metrics, and limitations. Furthermore, this paper identifies critical research gaps such as ethical concerns, adaptability challenges, and workforce implications. The study concludes with insights into future trends, emphasizing the integration of AI technologies for achieving efficient, scalable, and intelligent robotic systems.