INTEGRATION OF IOT, AI, AND ROBOTICS FOR THE ADVANCEMENT OF INTELLIGENT MANUFACTURING SYSTEMS

Abstract

The rapid convergence of the Industrial Internet of Things (IIoT), Artificial Intelligence (AI), and advanced Robotics has transformed modern manufacturing into intelligent, interconnected, and autonomous production systems. These Intelligent Manufacturing Systems (IMS) leverage hybrid Cloud-Edge computing, Cyber-Physical Systems (CPS), and Digital Twin technologies to achieve real-time monitoring, predictive analytics, and autonomous decision-making. AI-driven applications, predictive maintenance, vision-based quality inspection, and deep reinforcement learning for dynamic scheduling significantly enhance efficiency, reduce downtime, and optimize resource utilization. Meanwhile, Industry 5.0 introduces human-centricity, resilience, and sustainability as core design principles, promoting collaboration between humans and adaptive robotic systems. Despite these advances, the increasing interconnectedness of industrial assets introduces critical cybersecurity, ethical, and implementation challenges. The integration of Zero Trust Architecture (ZTA), AI-based intrusion detection, and Explainable AI (XAI) is essential to ensure system transparency, safety, trust, and operational resilience. Overall, the synergy of IoT, AI, and robotics represents a foundational shift toward intelligent, sustainable, and secure manufacturing ecosystems.