中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

10 records (took 0.011 seconds)

    Machine Learning-Based Systems and Methods for Controlling Robotic Object Picking and Placement in Training and Run Time Environments
    3.
    发明申请
    Machine Learning-Based Systems and Methods for Controlling Robotic Object Picking and Placement in Training and Run Time Environments 审中-公开

    公开(公告)号：US20200331144A1

    公开(公告)日：2020-10-22

    申请号：US16385470

    申请日：2019-04-16

    Applicant: ABB Schweiz AG

    Inventor： Jinmiao Huang ,  Carlos Martinez ,  Sangeun Choi

    IPC: B25J9/16

    Abstract: Methods, systems, and software for controlling object picking and placement by a robot system are disclosed. The method includes assigning machine learning training data of a machine learning model for an object. The machine learning training data includes a plurality of known grasp location labels assigned to the object positioned in a plurality of different object poses. The method includes providing the object in a work space of the robot system. For the object in the work space in a first pose of the plurality of different object poses, the method includes: mapping a first candidate grasp location on the object; executing robotic movements for the first candidate grasp location on the object; and evaluating a result of the executing for the first candidate grasp location according to at least one predetermined performance criteria.

    Machine learning-based systems and methods for controlling robotic object picking and placement in training and run time environments
    5.
    发明授权
    Machine learning-based systems and methods for controlling robotic object picking and placement in training and run time environments 有权

    公开(公告)号：US11185980B2

    公开(公告)日：2021-11-30

    申请号：US16385470

    申请日：2019-04-16

    Applicant: ABB Schweiz AG

    Inventor： Jinmiao Huang ,  Carlos Martinez ,  Sangeun Choi

    IPC: B25J9/16

    Abstract: Methods, systems, and software for controlling object picking and placement by a robot system are disclosed. The method includes assigning machine learning training data of a machine learning model for an object. The machine learning training data includes a plurality of known grasp location labels assigned to the object positioned in a plurality of different object poses. The method includes providing the object in a work space of the robot system. For the object in the work space in a first pose of the plurality of different object poses, the method includes: mapping a first candidate grasp location on the object; executing robotic movements for the first candidate grasp location on the object; and evaluating a result of the executing for the first candidate grasp location according to at least one predetermined performance criteria.

    Method and System for Automated Gear Reducer Design
    6.
    发明申请
    Method and System for Automated Gear Reducer Design 审中-公开

    公开(公告)号：US20200272705A1

    公开(公告)日：2020-08-27

    申请号：US16281859

    申请日：2019-02-21

    Applicant: ABB Schweiz AG

    Inventor： Stefan Rakuff ,  Jinmiao Huang

    IPC: G06F17/50 ,  G06N20/00

    Abstract: A method for automated gearbox design includes: instantiating the gearbox model having an initial parameter state in a modeling environment; analyzing and/or characterizing the gearbox model in the modeling environment to determine gearbox model performance; and determining whether the gearbox model performance satisfies a performance target. Upon a determination that the gearbox model performance does not satisfy the performance target: a reward is calculated based on the gearbox model performance; a reinforcement machine learning agent determines a parameter change action based on the reward and a current parameter state of the gearbox model; and an updated parameter state of the gearbox model is determined based on the parameter change action.

    Object grasp system and method
    9.
    发明授权
    Object grasp system and method 有权

    公开(公告)号：US11312581B2

    公开(公告)日：2022-04-26

    申请号：US16385592

    申请日：2019-04-16

    Applicant: ABB Schweiz AG

    Inventor： Jinmiao Huang ,  Sangeun Choi ,  Carlos Martinez

    IPC: B65G47/90

    Abstract: A grasping system includes a robotic arm having a gripper. A fixed sensor monitors a grasp area and an onboard sensor moves with the gripper also monitors the area. A controller receives information indicative of a position of an object to be grasped and operates the robotic arm to bring the gripper into a grasp position adjacent the object based on information provided by the fixed sensor. The controller is also programmed to operate the gripper to grasp the object in response to information provided by the first onboard sensor.

    Object Grasp System and Method
    10.
    发明申请
    Object Grasp System and Method 审中-公开

    公开(公告)号：US20200331709A1

    公开(公告)日：2020-10-22

    申请号：US16385592

    申请日：2019-04-16

    Applicant: ABB Schweiz AG

    Inventor： Jinmiao Huang ,  Sangeun Choi ,  Carlos Martinez

    IPC: B65G47/90

    Abstract: A grasping system includes a robotic arm having a gripper. A fixed sensor monitors a grasp area and an onboard sensor moves with the gripper also monitors the area. A controller receives information indicative of a position of an object to be grasped and operates the robotic arm to bring the gripper into a grasp position adjacent the object based on information provided by the fixed sensor. The controller is also programmed to operate the gripper to grasp the object in response to information provided by the first onboard sensor.

Patent Agency Ranking