WO2019153985A1 - 一种基于陀螺仪的机械手臂热源追踪辅助系统及其方法 - Google Patents
一种基于陀螺仪的机械手臂热源追踪辅助系统及其方法 Download PDFInfo
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- WO2019153985A1 WO2019153985A1 PCT/CN2019/070113 CN2019070113W WO2019153985A1 WO 2019153985 A1 WO2019153985 A1 WO 2019153985A1 CN 2019070113 W CN2019070113 W CN 2019070113W WO 2019153985 A1 WO2019153985 A1 WO 2019153985A1
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- G06T7/579—Depth or shape recovery from multiple images from motion
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
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- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1628—Programme controls characterised by the control loop
- B25J9/1635—Programme controls characterised by the control loop flexible-arm control
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
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- G05B19/42—Recording and playback systems, i.e. in which the programme is recorded from a cycle of operations, e.g. the cycle of operations being manually controlled, after which this record is played back on the same machine
- G05B19/4202—Recording and playback systems, i.e. in which the programme is recorded from a cycle of operations, e.g. the cycle of operations being manually controlled, after which this record is played back on the same machine preparation of the programme medium using a drawing, a model
- G05B19/4207—Recording and playback systems, i.e. in which the programme is recorded from a cycle of operations, e.g. the cycle of operations being manually controlled, after which this record is played back on the same machine preparation of the programme medium using a drawing, a model in which a model is traced or scanned and corresponding data recorded
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Definitions
- the present invention relates to the technical field, and in particular, to a gyroscope-based robot arm heat source tracking assisting system and a method thereof.
- the robotic arm is the most widely used automated mechanical device in the field of robotics. It can be seen in industrial manufacturing, medical treatment, entertainment services, military, semiconductor manufacturing and space exploration. Although their shapes are different, they all have one thing in common: they can accept instructions and accurately position them at a certain point in the three-dimensional (or two-dimensional) space.
- the technical problem to be solved by the present invention is to provide a gyroscope-based robot arm heat source tracking assisting system and a method thereof to solve the deficiencies of the prior art.
- the present invention provides a gyroscope-based robot arm heat source tracking assisting system, including
- 3D modeling part collecting and analyzing the scanned image of the controlled object, and performing image enhancement on the collected controlled object image, then compressing and encoding the image, transmitting it to the PC end, and decoding the image to construct a 3D simulated image of the controlled object.
- (x, y, z) three-dimensional data storage define the horizontal axis as x, the vertical axis as y, the vertical axis is z, if the (x, y, z) coordinate point data is not zero, it is the controlled object Source data of a part;
- the arm end capture part of the robot arm the two robot arm arm end capture device captures the fixed heat source of the arm end of the robot arm, one of the heat source capture devices acquires (x2, y2), and the other heat source capture device acquires (y2, z2) , wherein the two sets of vertical axis Y coordinates can be used to calibrate each other, and then the heat source tracking system calculates the relative position data (x2, y2, z2) of the arm end of the robot arm, and transmits the data to the digital image processing system portion;
- Image processing system part After determining the position of the arm end of the robot arm according to the coordinates provided by the capturing part of the arm end of the robot arm, the real-time gyroscope data is acquired at the same time, and the working angle direction of the robot arm is calculated according to the three-dimensional angle information acquired by the gyroscope. Combined with the relative position of the arm end of the robot arm (x2, y2, z2) and the three-dimensional angle information of the robot arm, the relative position (x1, y1, z1) of the end of the robot arm can be calculated, and a large amount of image data is collected for integration. The integrated image is image grayscale processed and deepened in the horizontal axis position, vertical axis position and vertical axis position.
- the 3D modeling section collects and analyzes a scanned image of the controlled object by using a technique not limited to CT, magnetic resonance, 3D scanning, or X-ray.
- the arm end capturing portion of the mechanical arm is installed at a position of 200 cm on the right side of the table and a position of 200 cm on the top.
- the display image in the image system can be enlarged and reduced.
- the two robot arm end capturing devices capture the heat source fixed at the arm end of the robot arm at a frequency of 50 Hz.
- a gyroscope-based robot arm heat source tracking assisting method includes the following steps:
- Step 1 Collecting and analyzing the scanned image of the controlled object, and performing image enhancement on the collected controlled object image, then compressing and encoding the image, and transmitting the image to the PC end, and decoding the image to construct a 3D simulated image of the controlled object;
- Step 2 Both mechanical arm end-capture devices can capture the heat source fixed at the arm end of the robot arm at a frequency of 50 Hz, wherein one heat source capture device acquires (x2, y2) and another heat source capture device acquires (y2, z2). ), the heat source tracking system calculates the relative position data (x2, y2, z2) of the arm end of the robot arm, and transmits the data to the digital image processing portion;
- Step 3 After determining the position of the mechanical arm end according to the coordinates provided by the capturing portion of the mechanical arm end, the real-time gyroscope data is acquired at the same time, and the relative position of the end of the mechanical arm is calculated according to the three-dimensional angle information acquired by the gyroscope, and then a large number of pictures are collected.
- the data is integrated, and the integrated image is subjected to image gray processing, and the annotation is specifically deepened at the horizontal axis position, the vertical axis position, and the vertical axis position.
- the invention utilizes CT, magnetic resonance, 3D scanning, X-ray and other technologies to collect a large amount of image information data, model the working environment image of the robot arm, and add a heat source supply device and a gyroscope to the arm end of the robot arm, and accurately track the arm end of the robot arm.
- the heat source accurately measures the position of the arm end of the robot arm, and uses the high-precision gyro to measure the high-precision angle information, and combines the number theory formula to accurately calculate the relative position of the end of the robot arm to separately position the end position of the robot arm, or It assists other algorithms or devices that track the position of the end of the robot arm, and corrects and calibrates the position of the end of the arm to ensure the accuracy of the position of the end of the arm displayed in the image processing system.
- the position of the end position of the robot arm can be continuously and dynamically tracked in real time, and it can be virtualized in the corresponding image system to reach the position of the end of the positioning robot arm, and assist and guide the operator or intelligent algorithm to perform various fine mechanical operations.
- Figure 1 is a block diagram of the system of the present invention.
- a gyroscope-based robot arm heat source tracking assisting system includes:
- A. Integrating digital image information for 3D modeling collecting and analyzing the scanned image of the controlled object by using CT, magnetic resonance, 3D scanning, X-ray, etc., and enhancing the image of the collected controlled object, and then The image is compression encoded and transmitted to the PC.
- the decoded image constructs a 3D simulated image of the controlled object, stored in (x, y, z) three-dimensional data, defining the horizontal axis as x, the vertical axis as y, and the vertical axis as z, if (x, y, z) coordinate point data When it is not zero, it is the source data of a part of the controlled object;
- A. Arm arm end capture part Install a heat source capture device at 200cm on the right side of the table and 200cm on the top. Both devices can capture the heat source fixed at the arm end of the robot arm at a frequency of 50Hz, one of which is a heat source. Capture device acquisition (x2, y2), another heat source capture device acquisition (y2, z2), where two sets of vertical axis Y coordinates can be used to calibrate each other, and then the heat source tracking system calculates the relative position data of the arm end of the robot arm (x2 , y2, z2), transfer the data to the digital image processing system.
- C. Image processing system part After determining the position of the arm end of the mechanical arm according to the coordinates provided by the capturing part of the arm end of the robot arm, the real-time gyroscope data is acquired at the same time, and the working angle direction of the mechanical arm is obtained according to the three-dimensional angle information acquired by the gyroscope For more accurate calculations, the relative position (x1, y1, z1) of the end of the robot arm can be calculated by using the number theory formula, combined with the relative position of the arm end of the robot arm (x2, y2, z2) and the three-dimensional angle information of the robot arm.
- CT magnetic resonance
- 3D scanning 3D scanning
- X-ray and other technologies will be used to collect a large amount of image data for integration, and the integrated image will be subjected to image gray processing, and the annotation will be specifically deepened in the horizontal axis position, the vertical axis position and the vertical axis position. Convenient for mechanical engineers to quickly and accurately identify the location.
- the specific implementation steps are as follows:
- the two heat source capture devices scan the signal heat source at a refresh rate of 50 Hz, and then determine the position of the arm end of the robot arm according to the predetermined threshold value, and obtain (x2, y2) and (y2, z2) according to the ratio in the image processing. For the calculation formula, determine its coordinates (x2, y2, z2).
- the known mechanical arm end position (x2, y2, z2) is calculated by the number theory formula to calculate the relative position of the mechanical arm end (x1, y1). , z1), the data is transmitted to the display processing system of the PC side, and the image data of the PC side is enhanced.
- the relative position (x1, y1, z1) of the end of the robot arm is transmitted in the image of the corresponding display system.
- the display image in the image system can be enlarged and reduced.
- the mechanical control operation can be performed according to the established operation route.
- the relative position (x, y, z) transmitted by other tracking devices or systems can be obtained first, and the data transmitted directly through the signal source is directly aligned ( x, y, z) and (x1, y1, z1), perform error analysis, select optimization data and punctuate in the image display system.
- the data transmitted directly through the signal source is directly aligned ( x, y, z) and (x1, y1, z1), perform error analysis, select optimization data and punctuate in the image display system.
- the B and C parts complete the subsequent implementation steps, re-plan a new operation route, continue the mechanical operation from the end point, match the three-dimensional position information of the operator and the end of the robot arm according to the reality, combined with the experience of the mechanical engineer. Make minor corrections and proceed to the next part.
- the fixed object needs to be fixed before the system is used.
- the simplest and most practical is to fix the object to be fixed on the workbench before using the robot arm, and fix it with a device such as a rubber strip.
- the system will perform relative position calibration on each part of the object to be operated, and can adjust and correct the data source during operation to ensure that the system coordinates will not be deviated.
- the mechanical engineer can self-use during use. Fine-tune some parameters, etc., to facilitate comparison operations.
- the parameters include image size, positioning calibration, and so on.
- the present invention utilizes CT, magnetic resonance, 3D scanning, X-ray and other technologies to collect a large amount of image information data, model the working environment image of the robot arm, and add a heat source supply device and a gyroscope to the arm end of the robot arm to accurately track the machine.
- the arm arm end heat source accurately measures the arm end position of the robot arm, and uses the high-precision gyroscope to measure the high-precision angle information.
- the relative position of the end of the robot arm is accurately calculated to separately position the end of the robot arm.
- the position of the end position of the robot arm can be continuously and dynamically tracked in real time, and it can be virtualized in the corresponding image system to reach the position of the end of the positioning robot arm, and assist and guide the operator or intelligent algorithm to perform various fine mechanical operations.
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Abstract
Description
Claims (6)
- 一种基于陀螺仪的机械手臂热源追踪辅助系统,其特征在于,包括3D建模部分:收集和分析被控物体的扫描图,对收集的被控物体图进行图像增强后,再将图像进行压缩编码,传输到PC端后,解码图像构造被控物体的3D模拟图像,以(x,y,z)三维数据存储,定义横轴为x,纵轴为y,竖轴为z,若(x,y,z)坐标点数据不为零时,即为被控物体某部分的图源数据;机械手臂臂端捕捉部分:两机械手臂臂端捕捉设备对机械手臂臂端固定的热源进行捕捉,其中一台热源捕捉设备获取(x2,y2),另一台热源捕捉设备获取(y2,z2),其中两组纵轴Y坐标可用来互相校准,再由热源追踪系统计算出机械手臂臂端相对位置数据(x2,y2,z2),将数据传输至数字图像处理系统部分中;图像处理系统部分:根据机械手臂臂端捕捉部分提供的坐标确定了机械手臂臂端位置后,同时获取实时的陀螺仪数据,依据陀螺仪获取的三维角度信息,对机械手臂的工作角度方向进行计算,结合机械手臂臂端相对位置(x2,y2,z2)和机械手臂的三维角度信息,即可计算出机械手臂末端的相对位置(x1,y1,z1),再收集大量图片数据进行整合,将整合后的图片进行图像灰度处理,并在横轴位置、纵轴位置和竖轴位置具体加深标注。
- 如权利要求1所述的一种基于陀螺仪的机械手臂热源追踪辅助系统,其特征在于:所述3D建模部分通过利用不限于CT、磁共振、3D扫描、X射线的技术收集和分析被控物体的扫描图。
- 如权利要求1所述的一种基于陀螺仪的机械手臂热源追踪辅助系统,其特征在于:所述机械手臂臂端捕捉部分安装在工作台右侧200cm和顶部200cm位置。
- 如权利要求1所述的一种基于陀螺仪的机械手臂热源追踪辅助系统,其特征在于:所述机械手臂末端相对位置(x1,y1,z1)在显示系统的图像中标注出来后,图像系统中的显示图片可进行放大缩小。
- 如权利要求1所述的一种基于陀螺仪的机械手臂热源追踪辅助系统,其特征在于:所述两机械手臂臂端捕捉设备均以频率为50Hz对机械手臂臂端固定的热源进行捕捉。
- 一种基于陀螺仪的机械手臂热源追踪辅助方法,其特征在于,包括以下步骤:步骤1、收集和分析被控物体的扫描图,对收集的被控物体图进行图像增强后,再将图像进行压缩编码,传输到PC端后,解码图像构造被控物体的3D模拟图像;步骤2、两机械手臂端捕设备均能以频率为50Hz对机械手臂臂端固定的热源进行捕捉,其中一台热源捕捉设备获取(x2,y2),另一台热源捕捉设备获取(y2,z2),再由热源追踪系统计算出机械手臂臂端相对位置数据(x2,y2,z2),将数据传输至数字图像处理部分中;步骤3、根据机械手臂端捕捉部分提供的坐标确定了机械手臂端位置后,同时获取实时的陀螺仪数据,依据陀螺仪获取的三维角度信息,计算出机械手臂末端的相对位置,然后收集大量图片数据进行整合,将整合后的图片进行图像灰度处理,并在横轴位置、纵轴位置和竖轴位置具体加深标注。
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TW201217123A (en) * | 2010-10-21 | 2012-05-01 | Ind Tech Res Inst | Parameters adjustment method of robotic arm system and adjustment apparatus |
CN102601800A (zh) * | 2011-01-19 | 2012-07-25 | 鸿富锦精密工业(深圳)有限公司 | 机械臂定位装置以及具有该机械臂定位装置的机械臂 |
CN106092053A (zh) * | 2015-12-25 | 2016-11-09 | 宁夏巨能机器人系统有限公司 | 一种机器人重复定位系统及其定位方法 |
CN106840205A (zh) * | 2017-01-19 | 2017-06-13 | 北京小鸟看看科技有限公司 | 陀螺仪校准补偿方法及装置、虚拟现实头戴设备 |
WO2017098707A1 (ja) * | 2015-12-11 | 2017-06-15 | 川崎重工業株式会社 | 外科手術システム、マニピュレータアーム、及びマニピュレータアーム支持体 |
CN108171749A (zh) * | 2018-02-12 | 2018-06-15 | 中南大学湘雅二医院 | 一种基于陀螺仪的机械手臂热源追踪辅助系统及其方法 |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5893330B2 (ja) * | 2011-10-18 | 2016-03-23 | オリンパス株式会社 | 操作入力装置および操作入力装置の初期化方法 |
FR3007175B1 (fr) * | 2013-06-13 | 2016-12-09 | Solidanim | Systemes de reperage de la position de la camera de tournage pour le tournage de films video |
CN105222772B (zh) * | 2015-09-17 | 2018-03-16 | 泉州装备制造研究所 | 一种基于多源信息融合的高精度运动轨迹检测系统 |
US10043076B1 (en) * | 2016-08-29 | 2018-08-07 | PerceptIn, Inc. | Visual-inertial positional awareness for autonomous and non-autonomous tracking |
US10395117B1 (en) * | 2016-08-29 | 2019-08-27 | Trifo, Inc. | Visual-inertial positional awareness for autonomous and non-autonomous tracking |
US10390003B1 (en) * | 2016-08-29 | 2019-08-20 | Perceptln Shenzhen Limited | Visual-inertial positional awareness for autonomous and non-autonomous device |
US10032276B1 (en) * | 2016-08-29 | 2018-07-24 | PerceptIn, Inc. | Visual-inertial positional awareness for autonomous and non-autonomous device |
US10402663B1 (en) * | 2016-08-29 | 2019-09-03 | Trifo, Inc. | Visual-inertial positional awareness for autonomous and non-autonomous mapping |
US10410328B1 (en) * | 2016-08-29 | 2019-09-10 | Perceptin Shenzhen Limited | Visual-inertial positional awareness for autonomous and non-autonomous device |
US10453213B2 (en) * | 2016-08-29 | 2019-10-22 | Trifo, Inc. | Mapping optimization in autonomous and non-autonomous platforms |
US10366508B1 (en) * | 2016-08-29 | 2019-07-30 | Perceptin Shenzhen Limited | Visual-inertial positional awareness for autonomous and non-autonomous device |
-
2018
- 2018-02-12 CN CN201810147131.0A patent/CN108171749A/zh active Pending
-
2019
- 2019-01-02 WO PCT/CN2019/070113 patent/WO2019153985A1/zh active Application Filing
- 2019-01-02 US US16/624,487 patent/US10991113B2/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TW201217123A (en) * | 2010-10-21 | 2012-05-01 | Ind Tech Res Inst | Parameters adjustment method of robotic arm system and adjustment apparatus |
CN102601800A (zh) * | 2011-01-19 | 2012-07-25 | 鸿富锦精密工业(深圳)有限公司 | 机械臂定位装置以及具有该机械臂定位装置的机械臂 |
WO2017098707A1 (ja) * | 2015-12-11 | 2017-06-15 | 川崎重工業株式会社 | 外科手術システム、マニピュレータアーム、及びマニピュレータアーム支持体 |
CN106092053A (zh) * | 2015-12-25 | 2016-11-09 | 宁夏巨能机器人系统有限公司 | 一种机器人重复定位系统及其定位方法 |
CN106840205A (zh) * | 2017-01-19 | 2017-06-13 | 北京小鸟看看科技有限公司 | 陀螺仪校准补偿方法及装置、虚拟现实头戴设备 |
CN108171749A (zh) * | 2018-02-12 | 2018-06-15 | 中南大学湘雅二医院 | 一种基于陀螺仪的机械手臂热源追踪辅助系统及其方法 |
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US20200111224A1 (en) | 2020-04-09 |
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