ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ENHANCE ROBOT DECISION-MAKING ADAPTABILITY AND LEARNING CAPABILITIES ACROSS VARIOUS DOMAINS

Abstract

This study examines the transformative role of artificial intelligence (AI) and machine learning (ML) in enhancing robot decision-making, adaptability, and learning capabilities. By integrating AI and ML algorithms, robots are evolving from pre-programmed tools into intelligent collaborators capable of operating effectively in complex and dynamic environments. This article provides a comprehensive overview of AI and ML in robotics, exploring their fundamental principles, diverse applications across industries, and associated challenges. Through a case-study-based approach, the study analyzes real-world implementations of AI-powered robots in manufacturing, healthcare, logistics, and industrial inspection, demonstrating their significant impact on efficiency, productivity, and safety. The findings highlight the potential of AI and ML to revolutionize various sectors, while emphasizing the need for ongoing research and responsible development to address ethical considerations and ensure the safe and beneficial integration of intelligent robots into society.