Design and Development of Autonomous Robotic Systems for Smart Manufacturing

الملخص

The advent of autonomous robotic systems has revolutionized smart manufacturing, offering unparalleled accuracy, efficiency, and synchronization. This paper considers the design and development of autonomous robotic systems designed for smart manufacturing environments, addressing key elements such as hardware selection, software integration, and artificial intelligence-driven functionality that enable autonomy. A comprehensive literature review highlights existing technologies, including machine vision, IoT integration, and artificial intelligence, which collectively form the basis of autonomous systems in manufacturing. The methodology section outlines a systematic approach to developing these systems, including needs analysis, design, testing, and real-world implementation. Additionally, a detailed case study shows the deployment of prototype robotic systems within artificial smart manufacturing environments. Performance metrics show significant advantages in performance, quality control, and error reduction compared to traditional methods. However, challenges such as cost, safety in human-robot collaboration, and synchronization in complex settings are important. This study concludes by discussing future directions for fully autonomous factories, possible improvements in the integration of artificial intelligence, and the emerging role of human workers in automated manufacturing systems.