After completing the MIRS Master’s in Intelligent Robotic Systems at the University of Girona, I was excited to start a doctoral degree in Eurecat, a technology centre in Catalonia, Spain, as a doctoral student at the unit of advanced manufacturing systems. My master's thesis played a key role in the configuration of this path, since I developed a machine learning model to detect errors in 3D printing. This project allowed me to apply the skills that I acquired during the master in a field that was new for me, reinforcing my passion for research and innovation. It also led to the publication of an article entitled “Real-Time Stringing Detection for Additive Manufacturing”
Discovering how machine learning could address the limits of additive manufacturing inspired my research focus on hybrid manufacturing, where reinforced learning is used to control the 3D printing process. The courses on the master were incredibly rich, since they provided a solid base in theoretical knowledge as well as practical skills. The well-structured courses not only introduced me to machine learning, but also gave me essential knowledge in robotics, planning trajectories, localisation and computer vision. This combination of theory and practical experience gave me the confidence and the tools to advance in my field. I highly recommend this programme to students looking to build a solid base and explore avant-garde applications in robotics and AI.