Automatic hand-eye calibration method and device for optimal calibration point selection and error self-measurement

Abstract

The invention belongs to the technical field of relative position calibration between a camera and a robot, and discloses an automatic hand-eye calibration method and device for optimal calibration point selection and error self-measurement. Align to obtain the initial sampling position of the robotic arm; the robotic arm completes a series of rotational movements by clamping the camera or the calibration plate, and the camera takes pictures of the calibration plate during the movement, and uses the calibration plate recognition algorithm to estimate the pose of the calibration plate , and filter unreasonable points at the same time; solve the calibration equation and use the sampling points in the calibration process to measure the error of the solution results, and realize a fully automatic and quantifiable calibration solution solution and device. The invention can quantify the obtained calibration error in various dimensions such as rotation and translation, can ensure the automatic, accurate and efficient whole calibration process, and solve the problem of eye-in-hand and eye-out-hand calibration in practical applications.

Description

technical field [0001] The invention belongs to the technical field of relative position calibration between a camera and a robot, and in particular relates to an automatic hand-eye calibration method and device for optimal calibration point selection and error self-measurement. Background technique [0002] Existing technology: At present, the hand-eye calibration system with automatic guidance, automatic positioning of sampling points and error measurement is still vacant in the technical field of calibration. The traditional automatic calibration method is to fix the calibration board or the camera at a certain position, and use the manual teaching method to let the robot arm go through the fixed moving point process (such as walking in a square or circle) that has been tested in advance to control the movement of the robot arm and let the camera Sampling the calibration board, that is, when the system is installed, where the robotic arm should go to sample is fixed and d...

AI Technical Summary

Problems solved by technology

[0003] Defects and reasons: The hand-eye calibration scheme of walking the teaching point has great defects in installation and use: In terms of installation: there is a large space limitation for fixing, and the fixed installation of the calibration board or camera also brings difficulties to the entire calibration process. Inconvenience

If the rotation pose of the manipulator is not rich enough, the accuracy of the final calibration result will decrease or even be wrong

In extreme cases, if the rotation axis of each rotation of the robotic arm is parallel, it may even cause the calibration equation to be unsolvable

The traditional way is to let the robotic arm walk according to the preset points, but this does not guarantee that the points obtained for each sampling are necessary

[0012] To sum up, the problems existing in the existing technology are: the traditional calibration method cannot realize the automatic positioning of the mechanical arm during the calibration process, the installation and operation process of the camera or the calibration board is complicated; the error measurement method is complicated and there are large errors, and the applicability Not high; in addition, the method of preset fixed positions cannot guarantee that the collected points can meet the needs of solving the calibration equation, and the accuracy and efficiency of solving the equation cannot be guaranteed

[0023] The traditional calibration method requires a human to direct the robotic arm to perform a series of sampling actions under the camera, but it is not only cumbersome to operate the robotic arm for calibration every time, but also the accuracy cannot be guaranteed

The existing automatic calibration method also uses manual teaching. After testing a series of points that the robot can reach, these points are stored for a series of calibration processes. There is no universality. The present invention proposes a The calibration method that can automatically find the best sampling point and judge the sampling results, and according to the motion characteristics of the industrial robot itself, design the sampling point design that the industrial robot is easy to reach, from the point design of the calibration process at the beginning, the data Acquisition and error analysis processes do not require external personnel to design, and truly realize the intelligent realization of the entire calibration process

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