1results about How to "Comprehensive feature extraction" patented technology

This invention discloses a robot grasping prediction method based on attention mechanism and low-rank tensor fusion. The method includes: acquiring a dataset of grasping images of a robot grasping multiple different objects; preprocessing the grasping image dataset and dividing it into a training set and a test set; training and testing a model based on attention mechanism and low-rank tensor fusion using the training set and the test set to obtain a trained model; acquiring tactile images of the target object grasped by the robot; inputting the tactile images into the trained model; and outputting a prediction result of whether the target object was successfully grasped. This invention enables the model to better capture key features and important information, achieves more comprehensive and efficient feature extraction by fusing multimodal information, generates richer fused features, and effectively predicts whether grasping is successful.