Method and apparatus for training artificial intelligence model for self-sensing actuator

A computer implemented method for training an artificial intelligence model for self-sensing of an actuator, the method comprising:

• acquiring a dataset from a shape memory alloy system by changing control parameters for controlling the shape memory alloy system;
• classifying the dataset into input data and ground truth data and labeling the dataset based on the ground truth data;
• and
• performing supervised training on the artificial intelligence model using the labeled dataset so that the artificial intelligence model outputs a generated force of a shape memory alloy with a specific shape or a length change of the shape memory alloy with the specific shape from the input data,
• wherein the shape memory alloy system includes wire and the shape memory alloy with the specific shape.