Carlo Squarcia Mateo

I've built intelligent robotic assembly systems that combine RoboDK, UR5e robots, OpenCV, and EfficientNet-B0. My simulated cell achieved 97.92% classification accuracy and completed 12 continuous assembly cycles across four stations.

I graduated in Industrial Informatics and Robotics Engineering from UPV and completed an international academic year at Politecnico di Torino, focusing on artificial intelligence, cybersecurity, and computer vision.

My work spans robotic simulation, reinforcement learning, computer vision, and industrial automation. I trained PPO locomotion policies in MuJoCo that increased target-environment return by 58% and achieved a 100% completion rate without falls.

I'm starting a Master's in Artificial Intelligence for Industrial and Manufacturing Processes at UNIR in November 2026. I use Python, OpenCV, TensorFlow, PyTorch, RoboDK, FlexSim, ROS, and industrial automation tools to develop practical Industry 4.0 solutions.