Kevin Patel is a researcher specializing in intelligent manufacturing systems, artificial intelligence–driven industrial analytics, and advanced quality engineering. His work focuses on applying datadriven methods, machine learning models, and cyber-physical production technologies to improvereliability, quality performance, and operational efficiency in modern manufacturing systems. His research contributes to the development of intelligent production environments capable of realtime monitoring, predictive decision-making, and adaptive process control. Kevin holds a Master of Engineering in Mechanical Engineering from the Illinois Institute of Technology, Chicago. His research integrates artificial intelligence, Industrial Internet of Things (IIoT), and digital twin technologies to design advanced manufacturing systems that support predictive maintenance, defect prevention, and autonomous production optimization within emerging Industry 5.0 environments.

Agentic AI for Advanced Manufacturing: Autonomous Robotic Planning and 3D Simulation forNext-Generation Production SystemsThe advancement of artificial intelligence, machine learning, and cyber-physical systems is transforming traditional manufacturing into intelligent and autonomous production environments. This work examines the role of Agentic AI architectures in manufacturing systems where autonomous AI agents collaborate to monitor production processes, analyze operational data, and enable adaptive decision-making. By integrating Industrial IoT sensor networks, predictive analytics, collaborative robotics, and digital twin simulation technologies, manufacturing systems can detect anomalies, predict equipment failures, and automatically adjust operational parameters to maintain process stability and product quality. The research highlights how multi-agent AI frameworks combining perception, reasoning, action, and learning capabilities enable continuous process optimization and predictive maintenance. Additionally, the use of 3D simulation platforms allows engineers to virtually validate production workflows, analyze system bottlenecks, and optimize manufacturing performance before realworld deployment. These capabilities contribute to the development of intelligent, resilient, and self-healing production systems aligned with the vision of next-generation Industry 5.0 manufacturing ecosystems.