Company Filing History:
Years Active: 2012-2025
Title: Innovations of Xiaoguang Wang
Introduction
Xiaoguang Wang is a prominent inventor based in Alpharetta, GA (US). He has made significant contributions to the field of vision systems, holding a total of 8 patents. His work focuses on enhancing the precision and efficiency of robotic systems through innovative calibration methods.
Latest Patents
One of his latest patents is titled "System and method for three-dimensional calibration of a vision system." This invention provides a system and method for calibration of a 3D vision system using a multi-layer 3D calibration target that removes the requirement of accurate pre-calibration of the target. The system acquires images of the multi-layer 3D calibration target at different spatial locations and at different times, computing the orientation difference of the 3D calibration target between the two acquisitions. This technique can be utilized for vision-based single-plane orientation repeatability inspection and monitoring. By applying this technique to an assembly working plane, vision-based assembly working plane orientation repeatability, inspection, and monitoring can occur. When combined with a moving robot end effector, this technique provides vision-based robot end-effector orientation repeatability inspection and monitoring. Additionally, vision-guided adjustment of two planes to achieve parallelism can be accomplished. The system operates to perform precise vision-guided robot setup to achieve parallelism of the robot's end-effector and the assembly working plane.
Another notable patent is the "Imaging system for determining multi-view alignment." This computer-implemented method may be used with imaging systems. It includes receiving a first image from a first device configured to generate the first image based upon, at least in part, a first portion of an item. The method further includes receiving a second image from a second device configured to generate the second image based upon, at least in part, a second portion of the item. It also involves extracting one or more features from the first and second images in a multi-view calibration space, wherein the features share a global coordinate system. The method applies a global constraints embedded Hough transform to the features present in both images.
Career Highlights
Xiaoguang Wang is currently employed at Cognex Corporation, where he continues to innovate in the field of vision systems. His work has significantly advanced the capabilities of robotic systems in various applications.
Collaborations
He has collaborated with notable coworkers such as Nathaniel