Predicting Maximum Permitted Process Forces for Object Grasping and Manipulation Using a Deep Learning Regression Model
2024 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS, CCTA 2024（2024）
关键词
Deep-learning Regression Model,Neural Network,Training Dataset,Maximum Force,Elastography,Tactile Sensor,Unknown Objects,ResNet-18 Model,Convolutional Layers,Visual Information,Contact Point,Accuracy And Precision,Assembly Process,Long Short-term Memory,Batch Normalization,Max-pooling,RGB Images,Neural Network Training,ReLU Activation,Grip Force,ResNet Block,Number Of Filters,Dynamic Contact,End-effector,Encoder Output
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