This project focuses on the integration of eye-tracking technology into a collaborative robot, the Dobot Magician, with the aim of improving human-robot interaction (HRI). The main objective was to develop a system that would allow the robot to follow the operator's gaze and make precise movements to identified points of interest using eye-tracking. Despite some challenges, a working prototype was implemented that demonstrated the basic ability of the system to respond to the operator's gaze-based commands. However, the system showed limitations in terms of accuracy and stability, indicating the need for future adaptations for more effective integration into a real production environment, such as the wire-harness assembly process. Although no practical tests were carried out in a real work environment, the results suggest that, with appropriate improvements, the system could contribute to reducing the operator's physical and cognitive workload and improving the ergonomics of the assembly process.