The proposed robot identification method uses periodic excitation to integrate experiment design, signal processing, and parameter estimation into a unified framework. Tests on an industrial manipulator confirm accurate actuator torque prediction for defined motions. This precision supports offline programming, task optimization, and advanced control. The derived payload identification method offers the same reliability and performance.