IP Library Granted Patent US 12694357
Granted Patent B2
US 12694357 · App. 18/835,693 · Granted Jul 28, 2026

Information processing system, information processing device, and data generation method

Inventor: Hiroshi Mori (Tokyo, JP)
Assignee: Sony Group Corporation
G06Q10/06395B25J9/163G06T7/0004G06T2207/10016G06T2207/30136
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Quick Facts
Patent No.
US 12694357
App. No.
18/835,693
Granted
Jul 28, 2026
Kind
B2
Abstract

An information processing system according to an aspect of the present disclosure includes an information processing unit that associates quality evaluation information related to quality evaluation of a product for a region to be worked of a work target object with motion history information related to a motion history of a robot device that performs work on the work target object.

Claims (39)

1 . An information processing system comprising:

a memory storing a program, and

at least one processor configured to execute the program to perform operations comprising:

for each respective region of a plurality of defined regions included in a work target object, performing an association of quality evaluation information for the respective region with motion history information of a robot device corresponding to motion performed in the respective region; and

generating a robot control command responsive to the association for adjusting operation of the robot device during work on the work target object.

2 . The information processing system according to claim 1 , wherein

the quality evaluation information is quality evaluation information related to a quality evaluation for each of planar regions of a region to be worked,

the motion history information is motion history information related to a motion history of the robot device for each of the planar regions, and

the operations further comprise associating the quality evaluation with the motion history for each of the planar regions.

3 . The information processing system according to claim 2 , wherein the operations further comprise:

matching position information of each of the planar regions related to the quality evaluation information with position information of each of the planar regions related to the motion history information.

4 . The information processing system according to claim 2 , wherein the quality evaluation information includes characteristic statistical data of a pixel characteristic value of each of the planar regions.

5 . The information processing system according to claim 1 , wherein the motion history information includes both or one of trajectory history information related to a trajectory history of a manipulator included in the robot device and pressure history information related to a pressure history of the manipulator.

6 . The information processing system according to claim 5 , wherein the trajectory history information includes both or one of coordinate history information related to a history of spatial coordinates of the manipulator and posture history information related to a posture history of the manipulator.

7 . The information processing system according to claim 1 , wherein the operations further comprise:

generating operator evaluation information on a basis of the quality evaluation information.

8 . The information processing system according to claim 1 , further comprising a business operator-side device that generates the motion history information.

9 . The information processing system according to claim 1 , further comprising an operator-side device for an operator to remotely operate the robot device.

10 . The information processing system according to claim 1 , wherein the operations comprise:

executing machine learning by using, as learning data, combination data in which the quality evaluation information and the motion history information are associated with each other.

11 . The information processing system according to claim 10 , wherein the operation further comprise:

generating a proficiency model related to the work of the robot device by the machine learning.

12 . The information processing system according to claim 11 , wherein the proficiency model is a model for the robot device to automatically perform the work.

13 . The information processing system according to claim 1 , wherein the operations further comprise:

executing machine learning by using, as learning data, combination data in which the quality evaluation information and the motion history information are associated with each other, and generating a work evaluation model for evaluating the work of the robot device.

14 . The information processing system according to claim 13 , wherein the operations further comprise:

executing the machine learning by using, as learning data, the combination data and work monitoring data related to monitoring of the robot device that performs the work.

15 . The information processing system according to claim 13 , wherein the motion history information includes pieces of motion history information respectively associated with region information of a first quality and region information of a second quality lower than the first quality, the region information being included in the quality evaluation information.

16 . The information processing system according to claim 1 , wherein the operations further comprise:

executing machine learning by using, as learning data, combination data in which the quality evaluation information and the motion history information are associated with each other and operation intention information related to intention of an operator who operates the robot device, and generating a work intention interpretation model for interpreting intention of the work of the robot device.

17 . The information processing system according to claim 16 , wherein the operations further comprise:

executing the machine learning by using, as learning data, the combination data, the operation intention information, and work monitoring data related to monitoring of the robot device that performs the work.

18 . The information processing system according to claim 16 , wherein the motion history information includes pieces of motion history information respectively associated with region information of first quality and region information of second quality lower than the first quality, the region information being included in the quality evaluation information.

19 . A data generation method comprising:

for each respective region of a plurality of defined regions included in a work target object, performing an association of quality evaluation information for the respective region with motion history information of a robot device corresponding to motion performed in the respective region; and

generating a robot control command responsive to the association for adjusting operation of the robot device during work on the work target object.

20 . A non-transitory computer readable medium including a program for data generation, the program being executable by a processor to perform operations comprising:

for each respective region of a plurality of defined regions included in a work target object, performing an association of quality evaluation information for the respective region with motion history information of a robot device corresponding to motion performed in the respective region; and

generating a robot control command responsive to the association for adjusting operation of the robot device during work on the work target object.