The positioning accuracy of industrial robots is a key issue in the research of robot technology, which directly affects the operational precision and application level of robots. This project aims to address the critical issues in dynamic error measurement of robots, by innovatively introducing the cascaded prism multi-mode tracking method into robot dynamic measurement. Combined with a single station dual-view field three-dimensional reconstruction scheme, it can not only achieve coarse-fine sequential tracking, time-varying tracking, and continuous tracking for dynamic measurement requirements, but also generate various tracking patterns such as linear and circular shapes. It simultaneously meets the dynamic multi-degree-of-freedom measurement requirements for large view fields, high resolution imaging, and wide range, high precision orientation. The research content includes: establishing a measurement scheme and mathematical model for coupled coarse-fine tracking and dual-view field imaging control; studying parameter matching, mode conversion, measurement information extraction, and image processing methods for coarse-fine tracking and dual-view field imaging; according to measurement requirements, Establish a theoretical model, error model, and experimental plan for the measurement of robot dynamic errors, and achieve precise calibration of the measurement system; provide scientific basis for robot error measurement through experiments on robot dynamic errors, and evaluate the measurement accuracy. The proposed single-station multi-mode tracking measurement method in this project is original and feasible, aiming to overcome key issues in laser multi-mode tracking robot error measurement systems. It involves the experimental prototype and application demonstration research of the measurement system, which is expected to provide a new solution for robot dynamic error measurement and has significant application value and market prospects.