• Patent Title: TRAINED MODEL GENERATION METHOD, TRAINED MODEL GENERATION DEVICE, TRAINED MODEL, AND HOLDING MODE INFERENCE DEVICE
  • Application No.: US18686363
    Application Date: 2022-08-26
  • Publication No.: US20240351198A1
    Publication Date: 2024-10-24
  • Inventor: Minami ASATANI
  • Applicant: KYOCERA Corporation
  • Applicant Address: JP Kyoto-shi, Kyoto
  • Assignee: KYOCERA Corporation
  • Current Assignee: KYOCERA Corporation
  • Current Assignee Address: JP Kyoto-shi, Kyoto
  • Priority: JP 21139421 2021.08.27
  • International Application: PCT/JP2022/032290 2022.08.26
  • Date entered country: 2024-02-23
  • Main IPC: B25J9/16
  • IPC: B25J9/16
TRAINED MODEL GENERATION METHOD, TRAINED MODEL GENERATION DEVICE, TRAINED MODEL, AND HOLDING MODE INFERENCE DEVICE
Abstract:
A trained model includes a class inference model, a first holding mode inference model, and a second holding mode inference model. The class inference model is configured to infer, based on an inference image of a holding target object, a classification result obtained by classifying the holding target object into a predetermined holding category. The first holding mode inference model is configured to infer, based on the classification result and the inference image, a first holding mode for the holding target object. The second holding mode inference model is configured to infer, based on the first holding mode and the inference image, a second holding mode for the holding target object. A trained model generation method includes generating a trained model by performing learning using learning data including a learning image of a learning target object corresponding to a holding target object.
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