The invention relates to a
robot grinding and
polishing self-adaptive compensation method based on multi-line
laser, and relates to the field of
robot positioning precision. According to the technical scheme, online high-resolution measurement of the workpiece is achieved through the multi-line
laser scanning sensor, hand-eye parameters are dynamically updated in combination with multi-view calibration and data fusion, the
tail end
pose of the
robot is corrected in real time through the mixed error model fusing MDH
kinematics and
machine learning, and the
grinding and
polishing precision and consistency are guaranteed. Wherein the MDH model is responsible for coarse positioning to guarantee
interpretability of a kinematic structure, the
machine learning model captures nonlinear dynamic errors such as
thermal expansion and abrasion, and the MDH model and the
machine learning model are combined to achieve self-adaptive real-time compensation of a complex error source. The error compensation precision is improved from the
millimeter level to the submillimeter level, the cost of the line
laser measurement
system is only tens of thousands of yuan, the size is small, installation is easy, and compared with a
laser tracker, the cost and the installation difficulty are greatly reduced.