Posture positioning system for machine and the method thereof

US10540779B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10540779-B2
Application numberUS-201715847089-A
CountryUS
Kind codeB2
Filing dateDec 19, 2017
Priority dateNov 3, 2017
Publication dateJan 21, 2020
Grant dateJan 21, 2020

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

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A posture positioning system for machine and the method thereof are provided. The system mainly consists of at least a depth camera mount on a robot to scan points of cloud of the machine, and a processing unit to apply an algorithm with the points of cloud and a contour vector file of the machine to obtain a transfer relationship. The processing unit further obtains a spatial relationship by a matrix calculation with the transfer relationship and a position relationship which exists between the robot and the depth camera. A route generating module of the processing unit generates, if needed, a moving route for the robot according to the spatial relationship.

First claim

Opening claim text (preview).

What is claimed is: 1. A posture positioning system for machine, adapted to be applied on a robot, comprising: at least an imaging unit, configured to obtain a depth information of a machine, the machine comprises a pipe polishing machine, wherein the imaging unit is mounted on the robot to scan the depth information of the machine: and a processing unit, configured to receive the depth information and then apply an algorithm using the depth information and a vector information of the machine to obtain a transfer relationship, and to calculate and obtain a spatial relationship basing based upon the transfer relationship and a position relationship; wherein the vector information is a 3D computer graphic of the machine; wherein the depth information is a 3D color point cloud of the machine, a 3D spatial-depth information of the machine, or a 3D mesh: and wherein the spatial relationship is calculated using a position relation between the robot and the imaging unit for matching a realistic partial 3D point cloud of the machine with the 3D computer graphic of the machine. 2. The system of claim 1 , wherein the imaging unit is a depth camera. 3. The system of claim 1 , wherein the processing unit further comprises: a calculation module, for executing the algorithm; a storage module, for storing the vector information; and a route generating module, for generating a moving route for the robot. 4. The system of claim 1 , wherein the position relationship is a position transformation matrix between the imaging unit and a distal end of the robot. 5. The system of claim 1 , wherein the transfer relationship is a position transformation matrix. 6. The system of claim 1 , wherein the spatial relationship is a matrix product of the transfer relationship and the position relationship. 7. The system of claim 1 , wherein the algorithm is an iterative closest point (ICP) algorithm. 8. A posture positioning method for machine, adapted to be applied on a robot while being executed by a processing unit, comprising the steps of: receiving a depth information of a machine that is obtained by the use of an imaging unit mounted on the robot to scan the depth information of the machine, the machine comprises a pipe polishing machine: applying an algorithm using the depth information and a vector information of the machine to obtain a transfer relationship; obtaining a spatial relationship basing based upon the transfer relationship and a position relationship; wherein the vector information is a 3D computer graphic of the machine; wherein the depth information is a 3D color point cloud of the machine, a 3D spatial-depth information of the machine, or a 3D mesh: and wherein the spatial relationship is calculated using a position relation between the robot and the imaging unit for matching a realistic partial 3D point cloud of the machine with the 3D computer graphic of the machine. 9. The method of claim 8 , wherein the position relationship is a position transformation matrix between the imaging unit and a distal end of the robot. 10. The method of claim 8 , wherein the transfer relationship is a position transformation matrix. 11. The method of claim 8 , wherein the spatial relationship is a matrix product of the transfer relationship and the position relationship. 12. The method of claim 8 , wherein the algorithm is an iterative closest point (ICP) algorithm. 13. The method of claim 8 , wherein after obtaining the spatial relationship, the method further comprises the step of: generating a moving route for the robot according to the spatial relationship.

Assignees

Inventors

Classifications

  • Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices · CPC title

  • G06T7/75Primary

    involving models · CPC title

  • Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils · CPC title

  • characterised by motion, path, trajectory planning · CPC title

  • using stereoscopic image cameras (stereoscopic photography G03B35/00) · CPC title

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What does patent US10540779B2 cover?
A posture positioning system for machine and the method thereof are provided. The system mainly consists of at least a depth camera mount on a robot to scan points of cloud of the machine, and a processing unit to apply an algorithm with the points of cloud and a contour vector file of the machine to obtain a transfer relationship. The processing unit further obtains a spatial relationship by a…
Who is the assignee on this patent?
Ind Tech Res Inst
What technology area does this patent fall under?
Primary CPC classification G06T7/75. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 21 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).