A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations. - Mateo Leco; Visakan Kadirkamanathan (Robotics Comput. Integr. Manuf., 2021)

A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts. - Mateo Leco; Thomas McLeay; Visakan Kadirkamanathan (Robotics Comput. Integr. Manuf., 2022)