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AssigneeKYOCERA Corporation
InventorMinami ASATANI
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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.
A trained model generation method comprising:
A trained model generation device configured to generate a trained model by performing learning using learning data comprising a learning image of a learning target object corresponding to a holding target object to be held by a robot, the trained model comprising:
A trained model comprising:
A holding mode inference device configured to infer, using a trained model, a mode in which a robot holds a target object, the trained model comprising:
Dependencies are inferred from the claim text.