CN114373015A - Method for carrying out 321 positioning based on redundant information - Google Patents

Method for carrying out 321 positioning based on redundant information Download PDF

Info

Publication number
CN114373015A
CN114373015A CN202111624579.5A CN202111624579A CN114373015A CN 114373015 A CN114373015 A CN 114373015A CN 202111624579 A CN202111624579 A CN 202111624579A CN 114373015 A CN114373015 A CN 114373015A
Authority
CN
China
Prior art keywords
component
components
redundant
workpiece
standard
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111624579.5A
Other languages
Chinese (zh)
Other versions
CN114373015B (en
Inventor
刘海庆
郭寅
尹仕斌
郭磊
徐冠宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Isvision Hangzhou Technology Co Ltd
Original Assignee
Isvision Hangzhou Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Isvision Hangzhou Technology Co Ltd filed Critical Isvision Hangzhou Technology Co Ltd
Priority to CN202111624579.5A priority Critical patent/CN114373015B/en
Publication of CN114373015A publication Critical patent/CN114373015A/en
Application granted granted Critical
Publication of CN114373015B publication Critical patent/CN114373015B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • G06T1/0014Image feed-back for automatic industrial control, e.g. robot with camera

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Robotics (AREA)
  • Numerical Control (AREA)

Abstract

The invention discloses a 321 positioning method based on redundant information, which comprises the steps of firstly obtaining necessary components and redundant components on a standard workpiece and storing the necessary components and the redundant components in a standard component set; acquiring a corresponding component on the actually measured workpiece, and storing the component into an actually measured component set; setting corresponding weight coefficients for each necessary component and each redundant component; constructing an objective function, and substituting the standard component set, the measured component set, the weight coefficient and each initial value into the objective function; solving the rotational and translational components by using an optimization method; recording the transformation matrix meeting the conditions as a final transformation relation to obtain the pose change of the actual workpiece relative to the standard workpiece, and completing the positioning of the actual measurement workpiece; the method can obtain more reasonable and accurate conversion matrix; and further, the stability and the accuracy of the visual guidance process are guaranteed.

Description

Method for carrying out 321 positioning based on redundant information
Technical Field
The invention relates to the field of visual positioning, in particular to a method for carrying out 321 positioning based on redundant information.
Background
The 321 system establishing method is a common system establishing method in the measurement field, and the 3' means that a plane can be established at 3 points which are not on the same straight line, and the direction of a coordinate axis is determined by the normal vector of the plane; "2" means that two points define a straight line, the straight line is perpendicular to the plane normal vector, and a second axial direction is established; "1" refers to a point that determines the location of the origin of the coordinate system. In practical application, the system establishing method is adopted to select measuring points on the workpiece and monitor the deviation condition of the workpiece in the directions of three coordinate axes of XYZ; in order to obtain the position offset between the actual workpiece and the ideal workpiece (zero-position workpiece), and perform offset comparison, the conversion relationship between the actual workpiece coordinate system and the standard workpiece coordinate system needs to be correctly solved, that is: positioning a workpiece 321; generally, positioning by utilizing 321 six coordinate components is an ideal positioning mode, but in the practical application process, for a complex workpiece, in order to realize effective positioning of the workpiece and guarantee the stability of workpiece positioning, a more than 3-2-1 rule selection mode is adopted when a measuring point is selected; at the moment, redundant information exists in the coordinate components of the selected measuring points, when the conversion relation between the standard workpiece and the actual workpiece is solved by using the existing method, the influence of the redundant components on the conversion of the coordinate system is not considered, the calculated conversion relation is unreasonable, and the positioning precision of the workpiece is influenced.
Disclosure of Invention
In order to solve the problems, the invention provides a method for performing 321 positioning based on redundant information, which can solve a transformation relation meeting conditions aiming at a system establishing mode with the redundant information, obtain a more reasonable and accurate transformation matrix, obtain the pose change of an actually measured workpiece relative to a standard workpiece, and complete the positioning of the actually measured workpiece.
The technical scheme of the invention is as follows:
a321 positioning method based on redundant information selects a plurality of measuring points on a standard workpiece in advance, wherein the method comprises the following steps: the coordinate components of the three measuring points are used for monitoring the direction of a first coordinate axis, the coordinate components of the two measuring points are used for monitoring the direction of a second coordinate axis, and the coordinate component of one measuring point is used for monitoring the direction of a third coordinate axis; recording each coordinate component as a necessary component;
except the necessary components, other coordinate components used for monitoring the coordinate axis direction are marked as redundant components;
acquiring a necessary component and a redundant component on a standard workpiece, and storing the necessary component and the redundant component in a standard component set;
and then positioning the actually measured workpiece by utilizing the following steps:
1) detecting the space coordinates of each measuring point at the same position on the actually measured workpiece, acquiring corresponding necessary components and redundant components, and storing the necessary components and the redundant components into an actually measured component set; the model of the actually measured workpiece is the same as that of the standard workpiece;
setting corresponding weight coefficient w for each necessary component and redundant componentiI is 1, 2 … … n, n represents the total number of essential and redundant components;
setting the initial values of the weight coefficients to be equal;
2) setting a translation component t1,t2,t3Rotating the initial values of the components alpha, beta and gamma to form an initial conversion matrix;
using initial conversion matrix to each component s in standard component setiConverting to obtain each conversion component ziCalculating respective conversion components ziRelative to t1,t2,t3Jacobian matrix J of, α, β, γi
3) Constructing an objective function Q:
Figure BDA0003439534210000031
each component s in the standard component setiAnd each component d in the measured component setiWeight coefficient wiAnd the Jacobian matrix J obtained in the step 2)iA translational component t1,t2,t3The initial values of the rotation components alpha, beta and gamma are substituted into the target function Q; where RT represents the integration of the individual components into a 4 x 4 matrix;
solving the roto-translational component (t) using an optimization method1,t2,t3,α,β,γ);
In the optimization iteration process, the current rotation and translation component is superposed once through the initial rotation and translation componentThe obtained rotation and translation components are obtained, and the Jacobian matrix J is updated by using the current rotation and translation componentsi
Updating the initial rotation and translation component to be the current rotation and translation component in real time, and preparing for the next iteration process;
4) forming a conversion matrix by utilizing the solved rotation and translation components, and solving the deviation of each corresponding coordinate component in the standard component set and the measured component set; counting the standard deviation of all the deviations, and if the standard deviation is smaller than a threshold value, directly performing the step 5);
otherwise, adjust wiMedium local weight coefficient using adjusted wiReturning each initial value in the step 2) to the step 3), and performing optimization calculation again;
when the number of times of returning to the step 3) reaches a preset value I, skipping is not performed, a conversion matrix with the minimum corresponding standard deviation is found out from all solved conversion matrices, and the conversion matrix is input to the step 5);
5) and recording the solved transformation matrix as a final transformation relation to obtain the pose change of the actual workpiece relative to the standard workpiece, and completing the positioning of the actual measurement workpiece.
Further, in step 4), w is adjustediThe method for determining the local weight coefficient comprises the following steps:
selecting one coordinate axis direction from the coordinate axis directions monitored by the redundant components, and recording the coordinate axis direction as a direction A;
recording the weight coefficients corresponding to the necessary components and the redundant components for monitoring the direction A as local weight coefficients to be adjusted;
increasing/decreasing each local weight coefficient according to a preset step length, keeping other weight coefficients unchanged, and updating wi
Judging whether the adjusted times of the local weight coefficient exceed a preset time II, if not, continuing to adjust the local weight coefficient according to a preset step length;
if yes, restoring each local weight coefficient to an initial value, and executing the step IV;
selecting coordinate axis directions except the direction A from the monitored coordinate axis directions of the redundant components, recording as a new direction A, and then skipping to execute the step II.
Further, when the weight coefficient to be adjusted is increased according to a preset step length, the preset step length is 5-10; step three, presetting the number of times II to be 10-20;
step two, when the weight coefficient to be adjusted is reduced according to a preset step length, the preset step length is 0.1-0.2; and step three, presetting the number II of times to be 9.
Further, in step 4), the preset value I is equal to a preset number of times II × the number of directions of the coordinate axes monitored by the redundant component.
Further, each component s in the standard component set is subjected to initial transformation matrixiConverting to obtain each conversion component ziCalculating respective conversion components ziRelative to t1,t2,t3Jacobian matrix J of, α, β, γi
Figure BDA0003439534210000041
Wherein the content of the first and second substances,
Figure BDA0003439534210000042
Figure BDA0003439534210000043
Figure BDA0003439534210000044
further, the threshold value in the step 4) is 0.05-0.1 mm.
Further, the measuring points are holes, edge points, face points or pin points which are artificially pre-selected.
Preferably, the spatial coordinates of the measurement points are acquired by a visual detection sensor or a three-coordinate system, and the necessary component and the redundant component are acquired by the spatial coordinates of the measurement points.
Further, step 1) sets the initial value of the weight coefficient to be 1; step 2) setting a translation component t1,t2,t3And the initial values of the rotational components α, β, γ are all 0.
The existing method does not consider the influence of redundant components on the coordinate system conversion, and the calculated conversion relation is not accurate, so that the position deviation of the assembled workpiece in a certain coordinate axis direction is overlarge, and even the assembly is failed; according to the method, the weight coefficient is set, the weight coefficient in the direction of the redundant information monitoring coordinate axis is adjusted, the optimal solving mode is utilized, the more reasonable and accurate conversion relation is solved circularly and iteratively, the conversion relation is fed back to the robot, and the robot can be accurately guided to complete the grabbing and assembling of the actual workpiece; the stability and the measurement accuracy of the whole vision guidance system are guaranteed.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solution of the present invention is described in detail below with reference to the accompanying drawings and the detailed description.
A321 positioning method based on redundant information is characterized in that a plurality of measuring points are pre-selected on a standard workpiece, and the measuring points are pre-selected holes, edge points, surface points or pin points. Among them are: the coordinate components of the three measuring points are used for monitoring the direction of a first coordinate axis, the coordinate components of the two measuring points are used for monitoring the direction of a second coordinate axis, and the coordinate component of one measuring point is used for monitoring the direction of a third coordinate axis; recording each coordinate component as a necessary component;
except necessary components, other coordinate components used for monitoring the direction of the coordinate axis are marked as redundant components;
the first coordinate axis, the second coordinate axis and the third coordinate axis are mutually vertical (a space Cartesian rectangular coordinate system);
as shown in fig. 1, firstly, acquiring a necessary component and a redundant component on a standard workpiece, and storing the necessary component and the redundant component in a standard component set;
and then positioning the actually measured workpiece by utilizing the following steps:
1) detecting the space coordinates of each measuring point at the same position on the actually measured workpiece, acquiring corresponding necessary components and redundant components, and storing the necessary components and the redundant components into an actually measured component set; the model of the actually measured workpiece is the same as that of the standard workpiece;
setting corresponding weight coefficient w for each necessary component and redundant componentiI is 1, 2 … … n, n represents the total number of essential and redundant components;
in this embodiment, the spatial coordinates corresponding to each measurement point are obtained by using the visual detection sensor, and the necessary component and the redundant component are obtained according to the spatial coordinates of the measurement points.
Setting the initial values of the weight coefficients to be 1;
2) setting a translation component t1,t2,t3The initial values of the rotation components alpha, beta and gamma are all 0, and an initial conversion matrix is formed; the initial value may be set to other values as long as the respective initial values are the same.
Using initial conversion matrix to each component s in standard component setiConverting to obtain each conversion component ziCalculating respective conversion components ziRelative to t1,t2,t3Jacobian matrix J of, α, β, γi
Specifically, each component s in the standard component set is subjected to initial transformation matrixiConverting to obtain each conversion component ziCalculating respective conversion components ziRelative to t1,t2,t3Jacobian matrix J of, α, β, γi
Figure BDA0003439534210000061
Wherein the content of the first and second substances,
Figure BDA0003439534210000062
Figure BDA0003439534210000071
Figure BDA0003439534210000072
3) constructing an objective function Q:
Figure BDA0003439534210000073
each component s in the standard component setiAnd each component d in the measured component setiWeight coefficient wiAnd the Jacobian matrix J obtained in the step 2)iA translational component t1,t2,t3The initial values of the rotation components alpha, beta and gamma are substituted into the target function Q; where RT represents the integration of the individual components into a 4 x 4 matrix;
solving the roto-translational component (t) using an optimization method1,t2,t3α, β, γ); in the optimization iteration process, the current rotation and translation component is obtained by superposing the rotation and translation component obtained in the last time on the initial rotation and translation component, and the Jacobian matrix J is updated by utilizing the current rotation and translation componenti
Updating the initial rotational-translational component to be the current rotational-translational component in real time, and preparing for the next iteration process;
4) forming a conversion matrix by utilizing the solved rotation and translation components, and solving the deviation of each corresponding coordinate component in the standard component set and the measured component set; counting the standard deviation of all the deviations, and if the standard deviation is smaller than a threshold value, directly performing the step 5);
otherwise, adjust wiMedium local weight coefficient using adjusted wiReturning each initial value in the step 2) to the step 3), and performing optimization calculation again;
when the number of times of returning to the step 3) reaches a preset value I, skipping is not performed, a conversion matrix with the minimum corresponding standard deviation is found out from all solved conversion matrices, and the conversion matrix is input to the step 5);
wherein the threshold value is 0.05-0.1 mm.
5) And recording the solved transformation matrix as a final transformation relation to obtain the pose change of the actual workpiece relative to the standard workpiece, and completing the positioning of the actual measurement workpiece.
Specifically, in step 4), w is adjustediThe method for determining the local weight coefficient comprises the following steps:
selecting one coordinate axis direction from the coordinate axis directions monitored by the redundant components, and recording the coordinate axis direction as a direction A;
recording the weight coefficients corresponding to the necessary components and the redundant components for monitoring the direction A as local weight coefficients to be adjusted;
increasing/decreasing each local weight coefficient according to a preset step length, keeping other weight coefficients unchanged, and updating wi
Judging whether the adjusted times of the local weight coefficient exceed a preset time II, if not, continuing to adjust the local weight coefficient according to a preset step length;
if yes, restoring each local weight coefficient to an initial value 1, and executing a step IV;
selecting coordinate axis directions except the direction A from the monitored coordinate axis directions of the redundant components, recording as a new direction A, and then skipping to execute the step II.
If the monitoring coordinate axis directions of the redundant components are 3, selecting one coordinate axis direction to adjust the weight coefficient, and if the conversion relation of the condition is not met all the time, switching another monitoring coordinate axis direction and continuously adjusting the weight; and if the weight of the 3 coordinate axis directions is adjusted and the conversion relation which meets the condition is not met, taking the conversion relation with the minimum corresponding standard deviation as the final conversion relation.
When the specific implementation is carried out, the step two is that when the weight coefficient to be adjusted is increased according to the preset step length, the preset step length is 5-10; step three, presetting the number of times II to be 10-20;
step two, when the weight coefficient to be adjusted is reduced according to a preset step length, the preset step length is 0.1-0.2; and step three, presetting the number II of times to be 9.
In step 4), the preset value I is equal to a preset number of times II × the number of directions of the coordinate axes monitored by the redundant components.
Taking the robot to guide the assembly of the automobile door as an example, selecting a measuring point on the automobile door, and solving the conversion relation between a standard automobile door coordinate system and an actually measured automobile door coordinate system to be assembled by adopting a redundant system building mode; feeding back the calculated conversion relation to the robot, adjusting the guiding pose by the robot according to the actually measured rotation and translation components of the vehicle door, and finishing the assembly of the vehicle door, so that the assembled vehicle door has uniform assembly errors in the directions of three coordinate axes of XYZ; if the weight coefficient is not adjusted, the robot is guided by adopting the conversion relation solved by the existing method, then the following conditions occur: the assembled car door has the problems that the assembly deviation is large in a certain coordinate axis direction, the assembly position is inaccurate and the requirements are not met; the method guarantees accuracy and stability of the assembly result.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. The foregoing description is not intended to be exhaustive or to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable others skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications thereof. It is intended that the scope of the invention be defined by the following claims and their equivalents.

Claims (9)

1. A method for 321 positioning based on redundant information is characterized in that a plurality of measuring points are selected in advance on a standard workpiece, wherein the method comprises the following steps: the coordinate components of the three measuring points are used for monitoring the direction of a first coordinate axis, the coordinate components of the two measuring points are used for monitoring the direction of a second coordinate axis, and the coordinate component of one measuring point is used for monitoring the direction of a third coordinate axis; recording each coordinate component as a necessary component;
except the necessary components, other coordinate components used for monitoring the coordinate axis direction are marked as redundant components;
acquiring a necessary component and a redundant component on a standard workpiece, and storing the necessary component and the redundant component in a standard component set;
and then positioning the actually measured workpiece by utilizing the following steps:
1) detecting the space coordinates of each measuring point at the same position on the actually measured workpiece, acquiring corresponding necessary components and redundant components, and storing the necessary components and the redundant components into an actually measured component set; the model of the actually measured workpiece is the same as that of the standard workpiece;
setting corresponding weight coefficient w for each necessary component and redundant componentiI is 1, 2 … … n, n represents the total number of essential and redundant components;
setting the initial values of the weight coefficients to be equal;
2) setting a translation component t1,t2,t3Rotating the initial values of the components alpha, beta and gamma to form an initial conversion matrix;
using initial conversion matrix to each component s in standard component setiConverting to obtain each conversion component ziCalculating respective conversion components ziRelative to t1,t2,t3Jacobian matrix J of, α, β, γi
3) Constructing an objective function Q:
Figure FDA0003439534200000011
each component s in the standard component setiAnd each component d in the measured component setiWeight coefficient wiAnd the Jacobian matrix J obtained in the step 2)iA translational component t1,t2,t3The initial values of the rotation components alpha, beta and gamma are substituted into the target function Q;
solving for the roto-translational component (t) by means of an optimization method1,t2,t3,α,β,γ);
4) Forming a conversion matrix by utilizing the solved rotation and translation components, and solving the deviation of each corresponding coordinate component in the standard component set and the measured component set; counting the standard deviation of all the deviations, and if the standard deviation is smaller than a threshold value, directly performing the step 5);
otherwise, adjust wiMedium local weight coefficient using adjusted wiReturning each initial value in the step 2) to the step 3), and performing optimization calculation again;
when the number of times of returning to the step 3) reaches a preset value I, skipping is not performed, a conversion matrix with the minimum corresponding standard deviation is found out from all solved conversion matrices, and the conversion matrix is input to the step 5);
5) and recording the solved transformation matrix as a final transformation relation to obtain the pose change of the actual workpiece relative to the standard workpiece, and completing the positioning of the actual measurement workpiece.
2. A method 321 for location determination based on redundant information according to claim 1, wherein: in step 4), w is adjustediThe method for determining the local weight coefficient comprises the following steps:
selecting one coordinate axis direction from the coordinate axis directions monitored by the redundant components, and recording the coordinate axis direction as a direction A;
recording the weight coefficients corresponding to the necessary components and the redundant components for monitoring the direction A as local weight coefficients to be adjusted;
increasing/decreasing each local weight coefficient according to a preset step length, keeping other weight coefficients unchanged, and updating wi
Judging whether the adjusted times of the local weight coefficient exceed a preset time II, if not, continuing to adjust the local weight coefficient according to a preset step length;
if yes, restoring each local weight coefficient to an initial value, and executing the step IV;
selecting coordinate axis directions except the direction A from the monitored coordinate axis directions of the redundant components, recording as a new direction A, and then skipping to execute the step II.
3. The method for performing 321 positioning based on redundant information of claim 2, wherein:
secondly, when the weight coefficient to be adjusted is increased according to a preset step length, the preset step length is 5-10; step three, presetting the number of times II to be 10-20;
step two, when the weight coefficient to be adjusted is reduced according to a preset step length, the preset step length is 0.1-0.2; and step three, presetting the number II of times to be 9.
4. A method 321 for location determination based on redundant information according to claim 3, wherein: and 4), setting the preset value I as a preset number II multiplied by the number of the monitored coordinate axis directions of the redundant components.
5. A method 321 for location determination based on redundant information according to claim 3, wherein: using initial conversion matrix to each component s in standard component setiConverting to obtain each conversion component ziCalculating respective conversion components ziRelative to t1,t2,t3Jacobian matrix J of, α, β, γi
Figure FDA0003439534200000031
Wherein the content of the first and second substances,
Figure FDA0003439534200000032
Figure FDA0003439534200000033
Figure FDA0003439534200000034
6. a method 321 for location determination based on redundant information according to claim 1, wherein: the threshold value in the step 4) is 0.05-0.1 mm.
7. A method 321 for location determination based on redundant information according to claim 1, wherein: the measuring points are holes, edge points, surface points or pin points which are artificially pre-selected.
8. A method 321 for location determination based on redundant information according to claim 1, wherein: and acquiring the space coordinates of the measuring points by using a visual detection sensor or a three-coordinate system, and acquiring necessary components and redundant components by using the space coordinates of each measuring point.
9. A method 321 for location determination based on redundant information according to claim 1, wherein: step 1) setting the initial values of the weight coefficients to be 1; step 2) setting a translation component t1,t2,t3And the initial values of the rotational components α, β, γ are all 0.
CN202111624579.5A 2021-12-28 2021-12-28 Method for 321 positioning based on redundant information Active CN114373015B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111624579.5A CN114373015B (en) 2021-12-28 2021-12-28 Method for 321 positioning based on redundant information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111624579.5A CN114373015B (en) 2021-12-28 2021-12-28 Method for 321 positioning based on redundant information

Publications (2)

Publication Number Publication Date
CN114373015A true CN114373015A (en) 2022-04-19
CN114373015B CN114373015B (en) 2024-05-31

Family

ID=81141562

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111624579.5A Active CN114373015B (en) 2021-12-28 2021-12-28 Method for 321 positioning based on redundant information

Country Status (1)

Country Link
CN (1) CN114373015B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5949685A (en) * 1997-06-03 1999-09-07 The Boeing Company Real-time orientation of machine media to improve machine accuracy
US20170348814A1 (en) * 2016-06-07 2017-12-07 Carl Mahr Holding Gmbh Metrological Apparatus and Method for Adjusting the Attitude of a Rotation-Symmetrical Workpiece
CN108717262A (en) * 2018-05-14 2018-10-30 湖南大学 A kind of abnormal curved surface tracking and system based on moment characteristics learning neural network
CN112082483A (en) * 2020-09-09 2020-12-15 易思维(杭州)科技有限公司 Positioning method and application of object with edge characteristics only and precision evaluation method
CN112507283A (en) * 2020-12-10 2021-03-16 易思维(杭州)科技有限公司 321-rule-based conversion matrix calculation method
CN113421291A (en) * 2021-07-16 2021-09-21 北京华睿盛德科技有限公司 Workpiece position alignment method using point cloud registration technology and three-dimensional reconstruction technology

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5949685A (en) * 1997-06-03 1999-09-07 The Boeing Company Real-time orientation of machine media to improve machine accuracy
US20170348814A1 (en) * 2016-06-07 2017-12-07 Carl Mahr Holding Gmbh Metrological Apparatus and Method for Adjusting the Attitude of a Rotation-Symmetrical Workpiece
CN108717262A (en) * 2018-05-14 2018-10-30 湖南大学 A kind of abnormal curved surface tracking and system based on moment characteristics learning neural network
CN112082483A (en) * 2020-09-09 2020-12-15 易思维(杭州)科技有限公司 Positioning method and application of object with edge characteristics only and precision evaluation method
CN112507283A (en) * 2020-12-10 2021-03-16 易思维(杭州)科技有限公司 321-rule-based conversion matrix calculation method
CN113421291A (en) * 2021-07-16 2021-09-21 北京华睿盛德科技有限公司 Workpiece position alignment method using point cloud registration technology and three-dimensional reconstruction technology

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨明亮;张琪;孟正大;: "冗余自由度弧焊系统运动规划方法研究", 工业控制计算机, no. 06, 25 June 2016 (2016-06-25) *

Also Published As

Publication number Publication date
CN114373015B (en) 2024-05-31

Similar Documents

Publication Publication Date Title
CN109318050B (en) The hole location bearing calibration of automatic punching system
CN108908327B (en) Robot positioning error grading compensation method
CN101239469B (en) Calibration device and method for robot mechanism
EP1761363B1 (en) Auxiliary device and method for calibrating an optical measurement array which can be mounted on a manipulator
CN102458779A (en) Robot calibration apparatus and method for same
CN107457785B (en) Robot position compensation method based on joint feedback
CN110174074B (en) Measuring device and method for thermal deformation error compensation of industrial robot
CN110715769A (en) Method for calibrating stress point position of weighing sensor of multi-point method centroid measuring equipment
CN110516350B (en) ERS point error correction method based on anisotropic weighting
JP2774939B2 (en) Robot tool parameter derivation method and calibration method
JP7276788B2 (en) Compensation method for optimizing the compensation ratio of major geometric errors of 5-axis numerically controlled machine tools
WO2023160211A1 (en) Method for identifying pitch error and yaw error of computer numerical control machine tool
CN114131595A (en) Robot 6D pose estimation system and method
EP1855085A1 (en) Correction method for a contour measuring instrument
CN113211436B (en) Six-degree-of-freedom series robot error calibration method based on genetic algorithm
Saadat et al. Dimensional variations during Airbus wing assembly
CN114373015A (en) Method for carrying out 321 positioning based on redundant information
CN113203369B (en) Method for measuring normal verticality of robot hole making
JP2003344040A (en) Error distribution method
CN209840976U (en) Measuring device for compensating thermal deformation error of industrial robot
CN108592838B (en) Calibration method and device of tool coordinate system and computer storage medium
DE112021000444T5 (en) robotic system
CN113146630A (en) Industrial robot milling error compensation method, system, device and medium
Aguilar et al. Analysis, characterization and accuracy improvement of optical coordinate measurement systems for car body assembly quality control
CN116423505B (en) Error calibration method for mechanical arm registration module in mechanical arm navigation operation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Country or region after: China

Address after: Room 495, building 3, 1197 Bin'an Road, Binjiang District, Hangzhou City, Zhejiang Province 310051

Applicant after: Yi Si Si (Hangzhou) Technology Co.,Ltd.

Address before: Room 495, building 3, 1197 Bin'an Road, Binjiang District, Hangzhou City, Zhejiang Province 310051

Applicant before: ISVISION (HANGZHOU) TECHNOLOGY Co.,Ltd.

Country or region before: China

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant