The invention relates to the technical field of
artificial intelligence, and discloses a
robot vision-guided grabbing control method and
system, and the method comprises the steps: executing global approaching coarse positioning; after a preset
distance threshold is entered, the
frame rate is increased, a high-frequency visual
servo mode is switched, geometric vectors of feature points are extracted, and pixel residual errors are calculated; kalman filtering is introduced to smooth a residual error, and an observation
noise covariance matrix is dynamically adjusted according to a real-time
image signal-to-
noise ratio; mapping the smooth residual error into a six-degree-of-freedom speed compensation amount by using an image jacobian matrix; and the compensation amount and the original motion instruction vector are synthesized, and after S-shaped curve weighting and normalized amplitude limiting, a joint
actuator is driven until the residual error converges. The
system comprises a visual acquisition module, a
feature extraction module, a residual calculation module, a visual
servo controller and a motion execution module. By means of the scheme, high-precision and high-robustness dynamic grabbing is achieved, and dependence on camera calibration and three-dimensional reconstruction is remarkably reduced.