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    TECHNIQUES FOR SEAM LOCALIZATION AND GAP MEASUREMENT
    1.
    发明申请
    TECHNIQUES FOR SEAM LOCALIZATION AND GAP MEASUREMENT 有权

    公开(公告)号：US20250153261A1

    公开(公告)日：2025-05-15

    申请号：US18506113

    申请日：2023-11-09

    Applicant: Path Robotics, Inc.

    Inventor： Madhavun Candadai VASU ,  Siqi HUANG ,  Amrish BASKARAN ,  Colin BUNKER ,  Alexander James LONSBERRY

    IPC: B23K9/095 ,  B25J9/16 ,  B25J11/00 ,  B25J19/02 ,  G06F30/10 ,  G06T7/00 ,  G06T7/70 ,  G06V10/141

    Abstract: This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, which provide for welding techniques for manufacturing robots, such as seam localization, gap measurement, or both. For example, the welding techniques may include, during illumination of one or more objects by a light source, controlling a camera to capture images of the one or more objects along at least a portion of a length of a seam formed by the one or more objects. The techniques further include differentiating, in the images, the seam from the one or more objects. In a first aspect, the techniques also include triangulating the differentiated seam to identify a position of the seam relative to a reference point. In a second aspect, the techniques also include determining, based on the differentiated seam, gap information along a portion of the seam. Other aspects and features are also claimed and described.

    AUTONOMOUS WELDING ROBOTS
    7.
    发明申请
    AUTONOMOUS WELDING ROBOTS 有权

    公开(公告)号：US20220305593A1

    公开(公告)日：2022-09-29

    申请号：US17679983

    申请日：2022-02-24

    Applicant: Path Robotics Inc.

    Inventor： Alexander James LONSBERRY ,  Andrew Gordon LONSBERRY ,  Nima Ajam GARD ,  Colin BUNKER ,  Carlos Fabian BENITEZ QUIROZ ,  Madhavun Candadai VASU

    IPC: B23K37/02 ,  B25J11/00 ,  B25J9/16

    Abstract: In various examples, a computer-implemented method of generating instructions for a welding robot. The computer-implemented method comprises identifying an expected position of a candidate seam on a part to be welded based on a Computer Aided Design (CAD) model of the part, scanning a workspace containing the part to produce a representation of the part, identifying the candidate seam on the part based on the representation of the part and the expected position of the candidate seam, determining an actual position of the candidate seam, and generating welding instructions for the welding robot based at least in part on the actual position of the candidate seam.

    MACHINE LEARNING LOGIC-BASED ADJUSTMENT TECHNIQUES FOR ROBOTS
    9.
    发明公开
    MACHINE LEARNING LOGIC-BASED ADJUSTMENT TECHNIQUES FOR ROBOTS 审中-公开

    公开(公告)号：US20230173676A1

    公开(公告)日：2023-06-08

    申请号：US18056443

    申请日：2022-11-17

    Applicant: PATH ROBOTICS, INC.

    Inventor： Alexander LONSBERRY ,  Andrew LONSBERRY ,  Nima Ajam GARD ,  Madhavun Candadai VASU ,  Eric SCHWENKER

    IPC: B25J9/16 ,  B25J11/00 ,  B25J19/02

    CPC classification number: B25J9/1664 ,  B25J9/163 ,  B25J9/161 ,  B25J11/005 ,  B25J19/021

    Abstract: This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, that provide for training, implementing, or updated machine learning logic, such as an artificial neural network, to model a manufacturing process performed in a manufacturing robot environment. For example, the machine learning logic may be trained and implemented to learn from or make adjustments based on one or more operational characteristics associated with the manufacturing robot environment. As another example, the machine learning logic, such as a trained neural network, may be implemented in a semi-autonomous or autonomous manufacturing robot environment to model a manufacturing process and to generate a manufacturing result. As another example, the machine learning logic, such as the trained neural network, may be updated based on data that is captured and associated with a manufacturing result. Other aspects and features are also claimed and described.

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