ASSISTANCE FOR ROBOT MANIPULATION

    公开(公告)号:US20220371203A1

    公开(公告)日:2022-11-24

    申请号:US17816727

    申请日:2022-08-02

    Abstract: A robot control system includes circuitry configured to: acquire an input command value indicating a manipulation of a robot by a subject user; acquire a current state of the robot and a target state associated with the manipulation of the robot; determine a state difference between the current state and the target state; acquire from a learned model, a degree of distribution associated with a motion of the robot, based on the state difference, wherein the learned model is generated based on a past robot manipulation; set a level of assistance to be given during the manipulation of the robot by the subject user, based on the degree of distribution acquired; and generate an output command value for operating the robot, based on the input command value and the level of assistance.

    MACHINE LEARNING MODEL DETERMINATION SYSTEM AND MACHINE LEARNING MODEL DETERMINATION METHOD

    公开(公告)号:US20230004870A1

    公开(公告)日:2023-01-05

    申请号:US17941033

    申请日:2022-09-09

    Abstract: Provided is a machine learning model determination system including: at least one server and at least one client terminal; an evaluation information database which stores evaluation information being information on an evaluation of machine learning; an evaluation information update module which updates the evaluation information based on a specific value of a parameter and an evaluation of the machine learning through use of specific teaching data; a teaching data input module; a verification data input module; a parameter determination module which determines the specific value of the parameter based on the evaluation information; and a machine learning engine which includes a learning module which executes learning for a machine learning model through use of the specific teaching data, and an evaluation module which evaluates a result of the machine learning through use of the specific verification data.

    ROBOT CONTROL SYSTEM AND ROBOT CONTROL METHOD

    公开(公告)号:US20210339392A1

    公开(公告)日:2021-11-04

    申请号:US17369965

    申请日:2021-07-08

    Abstract: A robot control system includes circuitry configured to: determine a necessity of assisting a robot to complete an automated work, based on environment information of the robot; select a remote operator from candidate remote operators based on stored operator data in response to determining that it is necessary to assist the robot to complete the automated work; transmit the environment information to the selected remote operator via a communication network; receive an operation instruction based on the environment information from the selected remote operator via the communication network; and control the robot to complete the automated work based on the operation instruction.

    EVENT ESTIMATION SYSTEM AND EVENT ESTIMATION METHOD

    公开(公告)号:US20210116901A1

    公开(公告)日:2021-04-22

    申请号:US17072623

    申请日:2020-10-16

    Abstract: An event estimation system includes an upper device, and a lower controller device including first circuitry that acquires operation information of a control target device connected to the lower controller device, estimates a presence or absence of an abnormality based on the operation information, holds the operation information for a certain time period, and transmits, based on the presence or absence of an abnormality and to the upper device, the operation information related to the estimation of the presence or absence of the abnormality. The upper device has second circuitry that receives the operation information from the lower controller device, and operates according to the presence or absence of the abnormality, inputs, using an upper neural network model, the operation information, output event information, and estimates an event.

    INSPECTION SYSTEM, TERMINAL DEVICE, INSPECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20210382467A1

    公开(公告)日:2021-12-09

    申请号:US17408487

    申请日:2021-08-23

    Abstract: An inspection system includes machine learning circuitry configured to determine whether each of objects belongs to a predetermined attribute based on feature data of each of the objects, feature data acquisition circuitry configured to acquire feature data of reevaluated objects which are determined to belong to the predetermined attribute without using the machine learning circuitry among excluded objects which are determined not to belong to the predetermined attribute by the machine learning circuitry, and parameter update circuitry configured to update a learning parameter of the machine learning circuitry based on teaching data including the acquired feature data acquired by the feature data acquisition circuitry.

    Industrial Device Image Recognition Processor and Controller

    公开(公告)号:US20190295244A1

    公开(公告)日:2019-09-26

    申请号:US16441031

    申请日:2019-06-14

    Inventor: Masaru ADACHI

    Abstract: An image recognition processor for an industrial device, the image recognition processor implementing, on an integrated circuit thereof, the functions of storing an image data processing algorithm, which has been determined based on prior learning; acquiring image data of an image including a predetermined pattern; and performing recognition processing on the image data based on the image data processing algorithm to output identification information for identifying a recognized pattern.

    GRIPPING SYSTEM WITH MACHINE LEARNING
    9.
    发明申请

    公开(公告)号:US20190152054A1

    公开(公告)日:2019-05-23

    申请号:US16195556

    申请日:2018-11-19

    Abstract: A gripping system includes a hand that grips a workpiece, a robot that supports the hand and changes at least one of a position and a posture of the hand, and an image sensor that acquires image information from a viewpoint interlocked with at least one of the position and the posture of the hand. Additionally, the gripping system includes a construction module that constructs a model by machine learning based on collection data. The model corresponds to at least a part of a process of specifying an operation command of the robot based on the image information acquired by the image sensor and hand position information representing at least one of the position and the posture of the hand. An operation module executes the operation command of the robot based on the image information, the hand position information, and the model, and a robot control module operates the robot based on the operation command of the robot operated by the operation module.

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