The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 24, 2025

Filed:

Feb. 26, 2025
Applicant:

Guangdong University of Technology, Guangdong, CN;

Inventors:

Jie Tao, Guangzhou, CN;

Xinyan Li, Guangzhou, CN;

Ankang He, Guangzhou, CN;

Zehui Xiao, Guangzhou, CN;

Qiang Wei, Guangzhou, CN;

Tiangang Luan, Guangzhou, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01);
U.S. Cl.
CPC ...
B25J 9/1692 (2013.01); B25J 9/1697 (2013.01); G05B 2219/39016 (2013.01); G05B 2219/39022 (2013.01);
Abstract

Provided is a method for improved hand-eye calibration method based on a structured light camera. The method includes: step 1: establishing a pinhole camera model, and using a depth camera to detect a three-dimensional (3D) coordinate to obtain a physical coordinate of each point in an image coordinate system with a known depth relative to a camera coordinate system; step 2: establishing a Denavit-Hartenberg (DH) model of a robotic arm, and moving the robotic arm to a determined coordinate using inverse kinematics; step 3: collecting n sets of point cloud data, applying depth scaling coefficients to the n sets of point cloud data to perform Singular Value Decomposition (SVD), and solving for an optimal depth scaling coefficient using a Nelder-Mead algorithm; and step 4: completing the hand-eye calibration of the robotic arm based on the solved optimal depth scaling coefficient. The method offers strong operability and robustness.


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