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公开(公告)号:US20240269830A1
公开(公告)日:2024-08-15
申请号:US18567953
申请日:2021-07-29
Applicant: SONY GROUP CORPORATION
Inventor: SHUNICHI SEKIGUCHI , KAZUMI AOYAMA , TAKAYOSHI TAKAYANAGI , HIROTAKA SUZUKI
IPC: B25J9/16
CPC classification number: B25J9/1612 , B25J9/1697
Abstract: An information processing apparatus according to an embodiment of the present technology includes a region calculation unit. The region calculation unit calculates, on the basis of operation information regarding an operation performed on a target object and an image of the target object, a hand area when the operation is performed on the target object by using an image generator or a predictor. This enables a high-precision operation. Moreover, a dataset used for the image generator and the predictor can be collected more easily. Therefore, a massive amount of datasets can be built and can be applied to various target objects.
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公开(公告)号:US20240219895A1
公开(公告)日:2024-07-04
申请号:US18557056
申请日:2022-01-27
Applicant: SONY GROUP CORPORATION
Inventor: SHUNICHI SEKIGUCHI , HIROTAKA SUZUKI
IPC: G05B19/423 , B25J9/16
CPC classification number: G05B19/423 , B25J9/163 , B25J9/1697 , G05B2219/40391
Abstract: Provided are a device and a method for presenting an evaluation score of teaching data and necessary teaching data to a user in an easy-to-understand manner in a configuration for performing learning processing using teaching data. A teaching data execution unit generates, as learning data, a camera-captured image corresponding to movement of a robot by a user operation based on the teaching data and movement position information of the robot, a learning processing unit executes machine learning by inputting learning data generated by the teaching data execution unit and generates a teaching data set including an image and a robot behavior rule as learning result data, a feedback information generation unit executes evaluation of teaching data by inputting the learning data generated by the teaching data execution unit and the learning result data generated by the learning processing unit, and generates and outputs numerical feedback information and visual feedback information based on an evaluation result.
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