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.

公开(公告)号：US20230330764A1

公开(公告)日：2023-10-19

申请号：US17893657

申请日：2022-08-23

Applicant: Path Robotics, Inc.

Inventor： Jordan OTT ,  Madhavun CANDADAI ,  Colin BUNKER ,  Sabhari NATRAJAN ,  Alexander LONSBERRY ,  Andrew LONSBERRY

IPC: B23K9/12 ,  B25J9/00

CPC classification number: B23K9/12 ,  B25J9/0084

Abstract: This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for operation of an assembly robotic system. In one aspect of the disclosure, the assembly robotic system includes a tool coupled to a robot device and configured to be selectively coupled to a first object. The assembly robotic system also includes a welding tool, one or more sensors configured to generate sensor data, and a controller. The controller is configured to control the tool to couple the tool to the first object based on the sensor data, control the robot device to bring the first object into a spatial relationship with a second object, and generate a weld instruction to cause the weld tool to weld a seam formed between the first and second objects. Other aspects and features are also claimed and described.