Facilitating robot positioning
US-2017136626-A1 · May 18, 2017 · US
US10540779B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10540779-B2 |
| Application number | US-201715847089-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 19, 2017 |
| Priority date | Nov 3, 2017 |
| Publication date | Jan 21, 2020 |
| Grant date | Jan 21, 2020 |
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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.
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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.
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