首页|Research from Shandong University of Science and Technology Provides New Study Findings on Robotics (Automatic Hand-Eye Calibration Method of Welding Robot Based on Linear Structured Light)
Research from Shandong University of Science and Technology Provides New Study Findings on Robotics (Automatic Hand-Eye Calibration Method of Welding Robot Based on Linear Structured Light)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on robotics. Acc ording to news reporting out of Shandong,People’s Republic of China, by NewsRx editors, research stated, “Aiming at solving the problems suchas long calibrati on time, low precision, and complex operation in hand-eye calibration of welding robot,an automatic hand-eye calibration algorithm based on linear structured l ight was proposed to solve thecalibration matrix X by using AX=ZB calibration equation.”Funders for this research include Shandong Province Higher Educational Science A nd TechnologyProgram; Natural Science Foundation of Shandong Province; Tai’an C ity Science And Technology DevelopmentProgram.Our news journalists obtained a quote from the research from Shandong University of Science andTechnology: “Firstly, a square calibration plate is customized t o effectively constrain the structured light.The a-shape algorithm was adopted to extract the contour of the 3D point cloud model of the calibrationplate. Sec ondly, an improved random sampling consistency algorithm which could determine t he optimaliterative number was proposed to fit the contour point cloud, the con tour point cloud model fitted wasobtained. Finally, the 3D coordinates of the t arget points were determined with the linear structuredlight to complete the ha nd-eye calibration. In order to prevent the calibration plate from deviating fro mthe acquisition range of the vision sensor during the calibration process, the distance between the linearstructural light and the inner circle in the calibr ation plate was set to limit the motion range of the robot.In order to eliminat e the error transfer of the robot body, an optimal solution of the rotation matr ix Rand the translation vector t of the calibration data was calculated with the singular value decomposition(S VD) and the least square rigid transpose method.”
Shandong University of Science and TechnologyShandongPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRobotics
NETL
NSTL
