A two-degree of freedom high-speed parallel-connected robot zero-point calibration method, a correction item is introduced to a zero-point recognition model based on a conventional Kalman filter method, an improved L-curve method is established for use in optimizing a correction parameter of a model recursive calculation process, in addition, with the combination of covariance matrix characteristics of an estimation error in a recursive process of the conventional Kalman filter method, a self-adaptive optimization method is established, thus effectively increasing the robustness, accuracy, and recognition efficiency of a robot zero-point recognition process.
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