Joint track error compensation method for oil pipe transfer robot
A technology for handling robots and error compensation, which is applied in the direction of manipulators, program-controlled manipulators, and manufacturing tools, and can solve problems such as reduced motion accuracy, being in a given position, and affecting equipment processing and repair accuracy.
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[0061] Specifically, as a preferred embodiment of the present invention, step 4 can be specifically described as:
[0062] Such as Figure 4 As shown, the dynamic adjacency matrix of each time step is synchronously generated according to the recursive operation of DGCRN; and at time t, according to the obtained joint angle values , given the training step size M; will to As training input, predict the output sequence to .
[0063] It is worth noting that since the above joint dynamic graph recurrent network model mainly makes the predicted angle infinitely close to the actual angle of the joint, in order to prevent overfitting, an L2 regular term is added at the same time, and the specific definition of the loss function can be as follows:
[0064] .
[0065] Among them, λ in the above formula is a regularization hyperparameter. By calculating the loss function between the predicted value and the actual value, the adaptive moment estimation optimization algorithm...
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