Transformación digital de una celda de manufactura mediante la integración de robótica industrial, visión artificial y sensores

Abstract

Abstract: The present work aims to design and simulate a robotic manufacturing cell for hinge assembly, integrating a FANUC LR Mate 200iD manipulator, a magnetic end-effector, a human-machine interface (HMI), and an Intel RealSense depth camera for automatic part classification. The robotic cell was configured using the RoboDK platform, and the algorithms for path generation and machine vision processing were implemented in Python. Experimental validation demonstrated significant optimization of cycle times and high performance and reliability of the part classification algorithm. The results show a 60% increase in productivity compared to the manual process. Furthermore, the project evaluation indicates a payback period of 9 months, confirming the technical and financial viability of the robotic solution.