-
公开(公告)号：US20240278434A1
公开(公告)日：2024-08-22
申请号：US18570156
申请日：2021-06-17
Applicant: ABB Schweiz AG
Inventor： Yinwei Zhang , Qilin Zhang , Biao Zhang , Jorge Vidal-Ribas
CPC classification number: B25J9/1697 , B25J9/1664 , B25J11/0075
Abstract: A robotic system for use in installing final trim and assembly part includes an auto-labeling system that combines images of a primary component, such as a vehicle, with those of computer based model, where feature based object tracking methods are used to compare the two. In some forms a camera can be mounted to a moveable robot, while in other the camera can be fixed in position relative to the robot. An artificial marker can be used in some forms. Robot movement tracking can also be used. A runtime operation can utilize a deep learning network to augment feature-based object tracking to aid in initializing a pose of the vehicle as well as an aid in restoring tracking if lost.
-
公开(公告)号：US20250128409A1
公开(公告)日：2025-04-24
申请号：US18570165
申请日：2021-06-17
Applicant: ABB Schweiz AG
Inventor： Yinwei Zhang , Qilin Zhang , Biao Zhang , Jorge Vidal-Ribas
Abstract: A robotic system for use in installing final trim and assembly part includes an auto-labeling system that combines images of a primary component, such as a vehicle, with those of computer based model, where feature based object tracking methods are used to compare the two. In some forms a camera can be mounted to a moveable robot, while in other the camera can be fixed in position relative to the robot. An artificial marker can be used in some forms. Robot movement tracking can also be used. A runtime operation can utilize a deep learning network to augment feature-based object tracking to aid in initializing a pose of the vehicle as well as an aid in restoring tracking if lost.
-
公开(公告)号：US20250014322A1
公开(公告)日：2025-01-09
申请号：US18570721
申请日：2021-06-17
Applicant: ABB Schweiz AG
Inventor： Qilin Zhang , Yinwei Zhang , Biao Zhang , Jorge Vidal-Ribas
IPC: G06V10/82
Abstract: A robotic system capable of being trained with a plurality of images that are synthetically augmented from an initial image data set includes a training system toward that end. An image augmentation system includes in one form a neural network trained to generate synthetic images using a generative adversarial network which includes the ability to synthesize images having various poses with adjustments to image parameters such as light and color among potential others. In another form the image augmentation system includes a set of images projected or transformed from its original pose to a number of different poses using an affine transform, and the ability to progress across an entire dimensional space of anticipated robot movements which produce various potential poses.
-
-
Search Results
3
records
(took 0.042 seconds)
