The present invention provides a teaching-free
welding robot path planning
system based on visual autonomous learning, which relates to the field of industrial
welding technology. The
system comprises: a posture compensation module for arranging three
infrared reflective marking points in an L-shape on the surface of a fixture base, using a
stereo camera to collect the original
point cloud of the marking points and the workpiece, and preprocessing the
point cloud; generating a posture compensation matrix based on the offset between the actual coordinates and the theoretical coordinates of the marking points, and outputting a denoised
point cloud data set and the compensation matrix; a
posture correction module for fitting the workpiece
plane equation based on the denoised point
cloud data set using a random sampling consistency
algorithm, applying the posture compensation matrix to the workpiece
plane equation, correcting the posture error caused by fixture drift, calculating the coordinates of the weld trajectory endpoints, and outputting the corrected weld posture parameters and scanning posture instructions. The present invention can compensate for fixture drift, correct weld posture, extract three-dimensional features, and plan a collision-free path, thereby improving
welding accuracy, efficiency, and
automation.