AI-Powered Robotics for Intelligent Industrial

Abstract: The adaptability of robotic systems in dynamic industrial settings has been limited by predefined programs and fixed control logic. Intelligent robotic systems that are capable of perception, learning, and autonomous decision- making have been made possible by recent advancements in artificial intelligence (AI). This paper presents a framework for intelligent industrial automation based on robotics powered by AI. The proposed system integrates real-time sensor data, machine learning algorithms, and robotic control systems to achieve adaptive behavior, fault awareness, and improved operational efficiency. To optimize robotic actions, AI-based decision models look at sensory inputs like vision, force, and positional data. The framework enhances productivity, flexibility, and safety, making it suitable for smart manufacturing and Industry 4.0 applications.

Keywords: AI-powered robotics, intelligent automation, predictive maintenance, and Industry 4.0