公开(公告)号：WO2022182894A1

公开(公告)日：2022-09-01

申请号：PCT/US2022/017741

申请日：2022-02-24

Applicant: PATH ROBOTICS INC.

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

IPC: 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.

公开(公告)号：WO2023089536A1

公开(公告)日：2023-05-25

申请号：PCT/IB2022/061107

申请日：2022-11-17

Applicant: PATH ROBOTICS, INC.

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

IPC: B25J9/16

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.

公开(公告)号：EP4297937A1

公开(公告)日：2024-01-03

申请号：EP22760418.8

申请日：2022-02-24

Applicant: Path Robotics, Inc.

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

IPC: B25J9/16