ROBOT SYSTEM, CONTROL DEVICE OF ROBOT, AND CONTROL METHOD OF ROBOT

    公开(公告)号:US20240061431A1

    公开(公告)日:2024-02-22

    申请号:US17924381

    申请日:2021-11-12

    Applicant: Hitachi, Ltd.

    CPC classification number: G05D1/0214 G05D1/0221 G05D1/0246 G06V10/82

    Abstract: A robot system includes a robot controlled by a computer. The robot includes a control device and an observation device. The computer detects a plurality of objects in a periphery by using observation information obtained by observation of the observation device, stores first state information of each of the plurality of detected objects, predicts future states of the plurality of detected objects from the first state information by using a first model for predicting a future state of an object, generates second state information of the periphery obtained by observation of the plurality of detected objects, predicts a future state of the robot from the second state information by using the first model, and determines a future action of the robot based on a given action target, the predicted future states of the plurality of objects, and the predicted future state of the robot.

    Information Processing Apparatus and Information Processing Method

    公开(公告)号:US20210271926A1

    公开(公告)日:2021-09-02

    申请号:US17181435

    申请日:2021-02-22

    Applicant: Hitachi, Ltd.

    Abstract: An information processing apparatus and an information processing method capable of accurately recognizing an object to be sensed are provided.
    One or a plurality of learning models are selected from among learning models corresponding to a plurality of categories, a priority of each of the selected learning models is set, observation data obtained by sequentially compounding pieces of sensor data applied from a sensor is analyzed using the learning model and the priority of the learning model, a setting of sensing at a next cycle is selected based on an analysis result, predetermined control processing is executed in such a manner that the sensor performs sensing at the selected setting of sensing, and the learning model corresponding to the category estimated as the category to which a current object to be sensed belongs with a highest probability is selected based on the categories to each of which the previously recognized object to be sensed belongs.

    Machine Control System
    3.
    发明申请

    公开(公告)号:US20190242326A1

    公开(公告)日:2019-08-08

    申请号:US16266815

    申请日:2019-02-04

    Applicant: Hitachi, Ltd.

    Abstract: According to one embodiment, a machine control system includes: a selecting unit which acquires a state quantity of a machine converted from data acquired by a sensor provided in the machine to select two or more learning models according to the acquired state quantity; a composing unit which inputs the state quantity acquired by the selecting unit to each of the two or more learning models selected by the selecting unit to calculate a composed value using a command value output from each of the learning models; and a learning unit which outputs a command value with respect to the machine in a range based on the composed value calculated by the composing unit, acquires a state quantity of the machine, searches for a command value of a specific condition from a combination of the output command value and the acquired state quantity, and outputs the searched command value to the machine, thereby creating a new learning model.

    Information Processing System and Autonomous System

    公开(公告)号:US20240269834A1

    公开(公告)日:2024-08-15

    申请号:US18414014

    申请日:2024-01-16

    Applicant: Hitachi, LTD.

    CPC classification number: B25J9/163 B25J9/161 B25J9/1697 B25J11/0045

    Abstract: Provided is an information processing system for an autonomous system, the information processing system obtaining observation sensor data in the autonomous system and a target of the autonomous system, and including: an agent management unit that stores and manages an agent group; an attention unit configured to select an agent from the agent group based on the target; and an agent cooperation unit configured to generate a new agent in which inputs and outputs of selected agents are integrated and to train a generative model of the new agent based on the observation sensor data.

    CONTROL SYSTEM AND ACTION GENERATION METHOD
    5.
    发明公开

    公开(公告)号:US20230418251A1

    公开(公告)日:2023-12-28

    申请号:US18112659

    申请日:2023-02-22

    Applicant: Hitachi, Ltd.

    CPC classification number: G05B19/042 G05B2219/25011

    Abstract: To act appropriately in consideration of uncertainty of a surrounding environment, it is provided a control system for generating an action for controlling a controlled device, comprising: a reception module configured to receive sensor data acquired by observing a state of a surrounding environment of the controlled device; a self-recognition module configured to derive, through use of a self-recognition prediction model that predicts a self-range being a range having a predictability and a controllability relating to the controlled device, a self-recognition block that defines the self-range from the sensor data; a target action prediction module configured to derive, through use of a target action prediction model that predicts a target action of the controlled device, the target action from the sensor data; and a switching module configured to select one of the self-recognition block or the target action in order to generate an action of the controlled device.

    CONTROL DEVICE, CONTROL METHOD, AND CONTROL PROGRAM

    公开(公告)号:US20190242319A1

    公开(公告)日:2019-08-08

    申请号:US16258756

    申请日:2019-01-28

    Applicant: Hitachi, Ltd.

    CPC classification number: F02D41/1405 F02D35/024 G06F17/14 G06N3/08 G07C5/0816

    Abstract: The control device includes: an observation unit that calculates an amount relating to a state of a control target detected by a sensor; an abnormality predictor detection unit that detects an abnormality predictor of the control target; a reward calculation unit that calculates a reward which is an amount obtained by evaluating pass or fail of an operation of the control target; a basic control amount calculation unit that calculates data relating to the state during an operation and a basic control amount serving as a reference to control the control target; a control amount search unit that searches for a control amount at which the reward satisfies a predetermined condition based on the basic control amount, the data relating to the state during the operation and the reward; and a control unit that generates a command value to the control target.

    IMAGE PREDICTION SYSTEM
    7.
    发明申请

    公开(公告)号:US20210264188A1

    公开(公告)日:2021-08-26

    申请号:US17126441

    申请日:2020-12-18

    Applicant: Hitachi, Ltd.

    Abstract: To generate a prediction image in which an outline of an object is clear and existence of the object is easily recognized, the image prediction system that generates a future prediction image and includes a gaze unit, a working memory unit, a control unit, and a generation model unit. The gaze unit controls a region including an object included in an observation image as a first gaze region. The working memory unit controls the first gaze region as a second gaze region when a difference in the first gaze region between the observation image and a prediction image is equal to or less than a predetermined value. The generation model unit generates prediction images of the first gaze region and the second gaze region. The control unit integrates the prediction image of the first gaze region and the prediction image of the second gaze region to generate a prediction image.

    CONTROL DEVICE AND CONTROL METHOD
    8.
    发明申请

    公开(公告)号:US20180181089A1

    公开(公告)日:2018-06-28

    申请号:US15854395

    申请日:2017-12-26

    Applicant: HITACHI, LTD.

    CPC classification number: G05B13/042 G05B13/0265

    Abstract: A control device that determines an output value of an actuator based on an input value of a sensor, includes a control unit that includes a control model capable of changing a parameter; a control unit that includes a control model fixed in a parameter acquired by a different device; and an action selection unit that selects an output value from output values of the respective control units and outputs the selected output value to an actuator, and determines an output value of the actuator, based on an input value from a sensor of a machine.

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