The application discloses a kind of
Delta robot hand-eye calibration methods based on 3D
vision sensor, comprising the following steps: step one,
system initialization and coordinate
system establishment, the internal parameter calibration of 3D
vision sensor is completed by establishing coordinate
system;Step two, TCP contact measurement, contact calibration board corner point,
record base coordinate and TCP coordinate, calculate mark point coordinate;Step three, orthogonal translation motion and
data acquisition, orthogonal translation motion collects
point cloud data before and after translation, and records TCP
coordinate change;Step four,
point cloud data processing and
feature extraction, extract mark point coordinate from
point cloud data, improve positioning accuracy;Step five, hand-eye matrix calculation, solve
rotation matrix and translation vector, synthesis hand-eye matrix;The present application constructs standard
orthogonal basis by using orthogonal translation motion, solves the fundamental problem that traditional hand-eye calibration equation cannot be solved, and improves mark point positioning accuracy by sub-pixel interpolation method based on area reciprocal weighting.