Industrial robot calibration is technique used to increase industrial robot repeatability and accuracy. In our project, we have analyzed various calibration techniques of articulated industrial robots and proposed an original method to analyze Industrial robot performance analysis. The proposed calibration set-up technique is using a mechanical setup of Linear Variable differential Transformer (LVDT) probe and inductive proximity sensor. The Statistical process control (SPC) software is using to monitor the real time data of the process and extracting the data for statistical analysis. The proposed Industrial robot calibration technique is applying at ABB Six Degrees of Freedom industrial robot and analyzing the performance gets affected by various Robot parameter and Internal/External factors. The calibration method is proposed to evaluate the repeatability of an articulated industrial robot using component of a Statistical Analysis course.

The paper focuses on a study of literature about available Industrial robot calibration technique, technical relevance of its utility and summaries findings & reasons behind specific features of each type of method. Comparative analysis helps to identify and assess the present knowledge to identify the future research areas for developing the research interest on the particular needs. The study focuses on advantages and disadvantages of different measuring systems used for calibration. It is observed from literature survey that the research focus about the calibration technique has moved towards the micro level classification of an industrial robot calibration process. The use of micro analysis, benchmarking and standardization of a calibration process requires an additional research. Therefore various recent contributions on industrial robot calibration techniques have been analysed for establishing a commonly acceptable methodology.