Parameter Identification is a methodological process within system modeling and control theory that belongs to the class of system identification techniques, distinguished by its specific aim of estimating the unknown or uncertain parameters of a predefined mathematical model structure—such as kinematic, dynamic, or state-space models—by minimizing the discrepancy between observed system behavior and model-predicted outputs, particularly in the context of enhancing the accuracy and performance of robotic systems through calibration.