Machine Learning Algorithm and PCB Design for Robotic Gantry

Particle detectors in large-scale high-energy physics experiments, such as those at the Large Hadron Collider at CERN, have become increasingly complex. We studied the use of robotics in the construction of these types of detectors and the integration of machine-learning techniques to support future construction demands. We developed custom electronics and algorithms to control a high-precision robotic gantry often used in the construction of these detectors. We also implemented a machine learning algorithm to automate the quality control of the detector construction process on the same gantry. This report presents the R&D details of this project.