CN110271016B - Mechanical arm calligraphy writing system and method based on boundary and force feedback - Google Patents

Mechanical arm calligraphy writing system and method based on boundary and force feedback Download PDF

Info

Publication number
CN110271016B
CN110271016B CN201910566156.9A CN201910566156A CN110271016B CN 110271016 B CN110271016 B CN 110271016B CN 201910566156 A CN201910566156 A CN 201910566156A CN 110271016 B CN110271016 B CN 110271016B
Authority
CN
China
Prior art keywords
writing
mechanical arm
tail end
point
points
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.)
Active
Application number
CN201910566156.9A
Other languages
Chinese (zh)
Other versions
CN110271016A (en
Inventor
庞剑坤
魏武
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.)
South China University of Technology SCUT
Original Assignee
South China University of Technology SCUT
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 South China University of Technology SCUT filed Critical South China University of Technology SCUT
Priority to CN201910566156.9A priority Critical patent/CN110271016B/en
Publication of CN110271016A publication Critical patent/CN110271016A/en
Application granted granted Critical
Publication of CN110271016B publication Critical patent/CN110271016B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J11/00Manipulators not otherwise provided for
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1628Programme controls characterised by the control loop
    • B25J9/1633Programme controls characterised by the control loop compliant, force, torque control, e.g. combined with position control
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1656Programme controls characterised by programming, planning systems for manipulators
    • B25J9/1664Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1694Programme controls characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion
    • B25J9/1697Vision controlled systems

Abstract

The invention discloses a mechanical arm calligraphy writing system and method based on boundary and force feedback, wherein the writing system comprises: the visual part is used for acquiring image information of a given font, and determining coordinates of a pen-down point and a pen-up point at the tail end of the mechanical arm and an expected force of the force feedback part; the mechanical arm part is used for controlling the position of the tail end of the writing brush and the contact force between the tail end of the writing brush and the writing paper board according to the coordinates of the pen falling point and the pen lifting point at the tail end of the mechanical arm; the force feedback part is used for measuring the contact force between the tail end of the writing brush and the writing paper board in real time and feeding the contact force back to the mechanical arm part; and the processor part is used for image processing and the mechanical arm part drives the track of the tail end of the writing brush and the contact force with the writing paper board. The invention uses a method combining vision and force control to enable the mechanical arm to automatically adjust the contact force between the pen end and the paper surface while completing calligraphy font writing, thereby achieving the effect of simulating calligraphy force change, and being widely applied to the fields of robot teaching, industrial mechanical arm carving and the like.

Description

Mechanical arm calligraphy writing system and method based on boundary and force feedback
Technical Field
The invention relates to the technical application field of humanoid wheel type robots, in particular to a mechanical arm calligraphy writing system and method based on boundary and force feedback.
Background
In recent years, the application of mechanical arms is gradually moving from factories to people's daily life. Writing with mechanical arms is also gaining increasing attention. In fact, most of the calligraphy mechanical arms on the market have low degree of freedom, poor operability and insufficient flexibility. Moreover, although several writing robots appear, the writing robots are technically limited to position control of the tail ends of the mechanical arms, and do not consider the mechanical skill in calligraphy. The simple outline of the Chinese character can not meet the aesthetic requirements of people obviously. On the other hand, how to add vision into the calligraphy mechanical arm enables the mechanical arm to automatically acquire Chinese character information without manual input is a problem which is not solved by the existing calligraphy mechanical arm.
The mechanical arm calligraphy writing system based on the boundary and force feedback can solve the existing problems.
Disclosure of Invention
Aiming at the technical problems, the invention provides a mechanical arm calligraphy writing system and method based on boundary and force feedback, mainly solves the problems that the existing calligraphy mechanical arm is restricted by freedom degree, lacks force control and visual feedback, has a single application scene and the like, combines force control and visual feedback together, and realizes the functions of autonomously acquiring Chinese character outlines and autonomously correcting calligraphy power.
The invention is realized by the following technical scheme:
a robotic arm calligraphic writing system based on boundary and force feedback, comprising:
the visual part is used for acquiring image information of a given font, determining coordinates of a pen drop point and a pen lifting point at the tail end of the mechanical arm after processing to obtain stroke contour information of the font, and meanwhile determining expected force of the force feedback part according to a stroke boundary of the font written by the mechanical arm for the first time;
the mechanical arm part is used for controlling the position of the tail end of the writing brush according to the coordinates of the pen falling point and the pen lifting point at the tail end of the mechanical arm, and meanwhile, the contact force between the tail end of the writing brush and a writing paper board is controlled according to the coordinates in the direction perpendicular to the paper surface of the tail end of the writing brush adjusted by the expected force of the force feedback part;
the force feedback part is used for measuring the contact force between the tail end of the writing brush and the writing paper board in real time in the writing process and feeding the contact force back to the mechanical arm part;
and the processor part is used for processing images in the writing process and operating the mechanical arm, and controlling the track of the tail end of the writing brush driven by the mechanical arm part and the contact force between the writing brush and the writing paper board.
Further, the processor part is a high-performance processor with a GPU.
Further, the model of the high-performance processor with the GPU is nvidiajeston tx 2.
Further, the vision part is a binocular camera, such as a ZED depth binocular camera.
Further, the force feedback part adopts a torque sensor, such as an SRI six-dimensional force/torque sensor.
Furthermore, the mechanical arm part adopts a six-degree-of-freedom mechanical arm.
A mechanical arm calligraphy writing method based on boundary and force feedback comprises the following steps:
(1) determining coordinates of a pen-down point and a pen-up point at the tail end of the mechanical arm according to the collected given font stroke contour information, and simultaneously determining expected force of a force feedback part according to a stroke boundary of the fonts written by the mechanical arm;
(2) controlling the position of the tail end of the writing brush according to coordinates of a writing point and a writing point at the tail end of the mechanical arm, and meanwhile, adjusting the coordinates in the direction vertical to the paper surface of the tail end of the writing brush according to the expected force of the force feedback part to control the contact force between the tail end of the writing brush and the writing paper plate;
(3) the contact force between the tail end of the writing brush and the writing paper board in the writing process is measured in real time, and the mechanical arm part is controlled to drive the tail end of the writing brush to finish writing according to the set track and the contact force between the tail end of the writing brush and the writing paper board.
Further, the step (1) specifically comprises:
(1.1) acquiring given font stroke contour information;
(1.2) extracting coordinates of stroke starting and ending positions;
(1.3) converting the coordinates into coordinates of a pen falling point and a pen lifting point of the tail end of the mechanical arm in a world coordinate system;
(1.4) extracting stroke boundaries of the font primarily written by the mechanical arm;
(1.5) comparing the stroke boundary size of the initial written font with the given font;
(1.6) transmitting information to the force feedback section to determine the desired force.
Further, the step (1.1) specifically comprises:
(1.1.1) adopting a horizontal-vertical difference method: after extracting the contour, obtaining a plurality of closed polygons, namely each point has two connecting points, but some end points can be generated at the acute angle of the contour, the end points have only one connecting point, which is called as isolated points, so that the points are removed for tracking, the processed contour forms a plurality of closed complex polygons, and each point on the polygon has two connecting points;
(1.1.2) detection of feature points: different from the skeleton after thinning, all points on the font outline have only 2 connection points, and the conditions of end points and bifurcation points do not exist; the characteristic points on the stroke contour mainly comprise angular points at the starting and stopping positions of the stroke, intersection points at the intersection positions of the strokes and turning points of the stroke; after extracting feature points on the contour, two sequences are obtained: the sequence of points and the sequence of feature points on the contour can be expressed as:
edge[k]=(p 0 ,p 1 ,...,p i ,p n-1 ,p n ) (1)
fp(k)=(i 0 ,i 1 ,...,i m-1 ,i m ) (2)
in the formula, edkg [ k ]]Is the point sequence of the k-th contour, fp (k) is the characteristic point sequence of contour k, where i j Indicating that the jth feature point is at edkg [ k ]]The last point last of the jth characteristic point is i j -1, next point next is i j +1;
(1.1.3) number of feature points: the characteristic points of the profiles are numbered clockwise or anticlockwise, so that the profiles are numbered for distinguishing different profiles conveniently; the serial numbers of the contours are arranged according to the sequence of the highest points of the contours from top to bottom and from left to right in the program processing; and for the outline, there are inner edge and outer edge, if there are parts in the original image of the font to form a closed connected region, then after extracting the outline, it will form a condition that the outer outline of the connected region completely contains its inner outline, the outer outline is called as the father outline, and the inner outline contained therein is called as the son outline, when numbering the characteristic points, the father outline and the son outline of an independent outline are numbered in the reverse order.
Further, the step (2) specifically comprises:
(2.1) acquiring the position and the boundary of a writing paperboard, wherein the position of the writing paperboard is usually set on a plane, the mechanical arm determines the plane by setting three points which are not on the same straight line, and meanwhile, the boundary condition is added when the plane is set, so that the mechanical arm is prevented from moving to an area outside the plane of the writing paperboard;
(2.2) moving the tail end of the writing brush to the positions of a desired writing point and a desired writing point acquired from a binocular camera, calculating the angle of rotation required by each joint in the process that the tail end of the writing brush moves to the desired writing point by using an inverse kinematics method, and adopting an algorithm of redundant Jacobian matrix inversion:
selecting a right pseudo-inverse matrix (right-inverse) by the equation:
Figure BDA0002109640640000041
Figure BDA0002109640640000042
using the Lagrange Multiplier method (Lagrange Multiplier),
Figure BDA0002109640640000043
the required solution can be solved by carrying out derivation on the above formula;
and (2.3) adjusting the coordinate in the direction vertical to the paper surface according to the expected force provided by the force feedback part, and increasing or decreasing the height of the tail end of the writing brush so as to reduce or increase the contact force between the tail end of the writing brush and the writing paper board.
Compared with the prior art, the invention has the advantages and beneficial effects that:
1. the method of combining the mechanical arm and the vision is adopted, the vision technology is integrated into a calligraphy writing system of the mechanical arm, the calligraphy stroke outline information can be rapidly acquired, and the information is transmitted to the mechanical arm to be written. The whole process is completed by the processor, the method is quick, simple and convenient, has very good practical value, and fully plays the role of the artificial intelligence algorithm.
2. The force feedback module is added in the system for writing calligraphy by the mechanical arm, so that the whole system has self-adjusting capacity, the self-learning and self-optimizing effects on the written fonts are realized, meanwhile, the mechanical arm calligraphy writing system with force control can adapt to more scenes, the calligraphy can be written in different environments, and the beauty of the calligraphy is embodied to the greatest extent.
Drawings
Fig. 1 is a schematic diagram of the overall structure of a mechanical arm calligraphy writing system based on boundary and force feedback according to an embodiment of the invention.
Fig. 2 is a schematic diagram illustrating feature point detection and numbering obtained by a stroke contour of a mechanical arm calligraphy writing method based on boundary and force feedback according to an embodiment of the present invention.
In the figure: 1-six degree of freedom mechanical arm; 2-a binocular camera; 3-writing paper board; 4-a torque sensor; 5-writing brush.
Detailed Description
The working principle and working process of the present invention will be further explained in detail with reference to the accompanying drawings.
As shown in fig. 1, a robotic arm calligraphy writing system based on boundary and force feedback, comprising:
the visual part is used for acquiring image information of a given font, determining coordinates of a pen drop point and a pen lifting point at the tail end of the mechanical arm after processing to obtain stroke contour information of the font, and meanwhile determining expected force of the force feedback part according to a stroke boundary of the font written by the mechanical arm for the first time;
the mechanical arm part is used for controlling the position of the tail end of the writing brush according to the coordinates of the pen falling point and the pen lifting point at the tail end of the mechanical arm, and meanwhile, the contact force between the tail end of the writing brush 5 and the writing paper board 3 is controlled according to the coordinates in the direction perpendicular to the paper surface of the tail end of the writing brush adjusted by the expected force of the force feedback part;
the force feedback part is used for measuring the contact force between the tail end of the writing brush and the writing paper board in real time in the writing process and feeding the contact force back to the mechanical arm part;
and the processor part is used for processing images in the writing process and calculating the operation process of the mechanical arm, and controlling the track of the tail end of the writing brush driven by the mechanical arm part and the contact force between the writing brush and the writing paper board 3.
The processor part is a high-performance processor with a GPU.
The model of the high-performance processor with the GPU is NVIDIAJestonTX 2.
The vision part is a binocular camera 2, such as a ZED depth binocular camera.
The force feedback part adopts a torque sensor, such as an SRI six-dimensional force/torque sensor.
The mechanical arm part adopts a six-degree-of-freedom mechanical arm 1.
A mechanical arm calligraphy writing method based on boundary and force feedback comprises the following steps:
(1) determining coordinates of a pen-down point and a pen-up point at the tail end of the mechanical arm according to the collected given font stroke contour information, and simultaneously determining expected force of a force feedback part according to a stroke boundary of the fonts written by the mechanical arm;
(2) controlling the position of the tail end of the writing brush according to coordinates of a writing point and a writing point at the tail end of the mechanical arm, and meanwhile, adjusting the coordinates in the direction vertical to the paper surface of the tail end of the writing brush according to the expected force of the force feedback part to control the contact force between the tail end of the writing brush and the writing paper plate;
(3) and measuring the contact force between the tail end of the writing brush and the writing paper board in real time in the writing process, and controlling the mechanical arm part to drive the tail end of the writing brush to finish writing according to a set track and the contact force between the tail end of the writing brush and the writing paper board.
Further, the step (1) specifically comprises:
(1.1) acquiring given font stroke contour information;
(1.2) extracting coordinates of stroke starting and ending positions;
(1.3) converting the coordinates into coordinates of a pen falling point and a pen lifting point of the tail end of the mechanical arm in a world coordinate system;
(1.4) extracting stroke boundaries of the font primarily written by the mechanical arm;
(1.5) comparing the stroke boundary size of the initial written font with the given font;
(1.6) transmitting information to the force feedback section to determine the desired force.
Specifically, as shown in fig. 2, the step (1.1) specifically includes:
(1.1.1) adopting a horizontal-vertical difference method: after extracting the contour, obtaining a plurality of closed polygons, namely each point has two connecting points, but some end points can be generated at the acute angle of the contour, the end points have only one connecting point, which is called as isolated points, so that the points are removed for tracking, the processed contour forms a plurality of closed complex polygons, and each point on the polygon has two connecting points;
(1.1.2) detection of feature points: different from the skeleton after thinning, all points on the font outline have only 2 connection points, and the conditions of end points and branch points do not exist; the characteristic points on the stroke contour mainly comprise angular points at the starting and stopping positions of the stroke, intersection points at the intersection positions of the strokes and turning points of the stroke; after extracting feature points on the contour, two sequences are obtained: the sequence of points and the sequence of feature points on the contour can be expressed as:
edge[k]=(p 0 ,p 1 ,...,p i ,p n-1 ,p n ) (1)
fp(k)=(i 0 ,i 1 ,...,i m-1 ,i m ) (2)
in the formula, edkg [ k ]]Is the point sequence of the k-th contour, fp (k) is the characteristic point sequence of contour k, where i j Indicating that the jth feature point is at edkg [ k ]]The last point last of the jth characteristic point is i j -1, next point next is i j +1;
(1.1.3) number of feature points: the characteristic points of the profiles are numbered clockwise or anticlockwise, so that the profiles are numbered for distinguishing different profiles conveniently; the serial numbers of the contours are arranged according to the sequence of the highest points of the contours from top to bottom and from left to right in the program processing; and for the outline, there are inner edge and outer edge, if there are parts in the original image of the font to form a closed connected region, then after extracting the outline, it will form a condition that the outer outline of the connected region completely contains its inner outline, the outer outline is called as the father outline, and the inner outline contained therein is called as the son outline, when numbering the characteristic points, the father outline and the son outline of an independent outline are numbered in the reverse order.
Specifically, the step (2) specifically includes:
(2.1) acquiring the position and the boundary of a writing paperboard, wherein the position of the writing paperboard is usually set on a plane, the mechanical arm determines the plane by setting three points which are not on the same straight line, and meanwhile, the boundary condition is added when the plane is set, so that the mechanical arm is prevented from moving to an area outside the plane of the writing paperboard;
(2.2) moving the tail end of the writing brush to the positions of a desired writing point and a desired writing point acquired from a binocular camera, calculating the angle of rotation of each joint in the process of moving the tail end of the writing brush to the desired writing point by using an inverse kinematics method, and adopting an algorithm of redundant Jacobian matrix inversion:
selecting a right pseudo-inverse matrix (right-inverse) by the equation
Figure BDA0002109640640000081
Figure BDA0002109640640000082
Using the Lagrange Multiplier method (Lagrange Multiplier),
Figure BDA0002109640640000083
the required solution can be solved by carrying out derivation on the above formula;
and (2.3) adjusting the coordinate in the direction vertical to the paper surface according to the expected force provided by the force feedback part, and increasing or decreasing the height of the tail end of the writing brush so as to reduce or increase the contact force between the tail end of the writing brush and the writing paper board.
In the embodiment, the image information of the given font is acquired through the binocular camera, the stroke of the font is determined through processing, the coordinates of the initial position and the final position of the stroke are extracted and converted into the coordinates of the falling point and the lifting point of the tail end of the mechanical arm in a world coordinate system, the stroke information written by the mechanical arm for the first time is extracted through the binocular camera, the size of the stroke boundary of the written font and the given font is compared, the stroke boundary is fed back to the mechanical arm through the torque sensor, the contact force between the tail end of the mechanical arm and the paper surface is adjusted, and the effect that the mechanical arm simulates calligraphy and changes in force is achieved. The robot calligraphy writing system of the embodiment uses a method combining vision and force control to enable the mechanical arm to automatically adjust the contact force between the tail end and the paper surface while finishing calligraphy font writing, so that the effect of simulating calligraphy force path change is achieved, and the robot calligraphy writing system can be widely applied to the fields of robot teaching, industrial mechanical arm carving and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents or improvements made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (6)

1. A mechanical arm calligraphy writing method based on boundary and force feedback is characterized by comprising the following steps:
(1) determining coordinates of a pen-down point and a pen-up point at the tail end of the mechanical arm according to the collected given font stroke contour information, and simultaneously determining expected force of a force feedback part according to a stroke boundary of the fonts written by the mechanical arm;
(2) controlling the position of the tail end of the writing brush according to coordinates of the writing point and the writing point at the tail end of the mechanical arm, and meanwhile, adjusting the coordinates of the tail end of the writing brush in the direction perpendicular to the paper surface according to the expected force of the force feedback part to control the contact force between the tail end of the writing brush and a writing paper board, wherein the step (2) specifically comprises the following steps:
(2.1) acquiring the position and the boundary of a writing paperboard, wherein the position of the writing paperboard is usually set on a plane, the mechanical arm determines the plane by setting three points which are not on the same straight line, and meanwhile, the boundary condition is added when the plane is set, so that the mechanical arm is prevented from moving to an area outside the plane of the writing paperboard;
(2.2) moving the tail end of the writing brush to the positions of a desired writing point and a desired writing point acquired from a binocular camera, calculating the angle of rotation of each joint in the process of moving the tail end of the writing brush to the desired writing point by using an inverse kinematics method, and adopting an algorithm of redundant Jacobian matrix inversion:
selecting a right pseudo-inverse matrix (right-inverse) by the equation:
Figure FDA0003699199520000011
Figure FDA0003699199520000012
using the Lagrange Multiplier method (Lagrange Multiplier),
Figure FDA0003699199520000013
the required solution can be obtained by derivation of the above formula;
(2.3) adjusting the coordinate in the direction vertical to the paper surface according to the expected force provided by the force feedback part, and increasing or decreasing the height of the tail end of the writing brush so as to reduce or increase the contact force between the tail end of the writing brush and the writing paper board;
(3) measuring the contact force between the tail end of the writing brush and a writing paper board in real time in the writing process, and controlling the mechanical arm part to drive the tail end of the writing brush to finish writing according to a set track and the contact force between the tail end of the writing brush and the writing paper board;
the step (1) specifically comprises the following steps:
(1.1) obtaining given font stroke outline information, wherein the step (1.1) specifically comprises the following steps:
(1.1.1) adopting a horizontal-vertical difference method: after extracting the contour, obtaining a plurality of closed polygons, namely each point has two connecting points, but some end points can be generated at the acute angle of the contour, the end points have only one connecting point, which is called as isolated points, so that the points are removed for tracking, the processed contour forms a plurality of closed complex polygons, and each point on the polygon has two connecting points;
(1.1.2) detection of feature points: different from the skeleton after thinning, all points on the font outline have only 2 connection points, and the conditions of end points and bifurcation points do not exist; the characteristic points on the stroke contour mainly comprise angular points at the starting and stopping positions of the stroke, intersection points at the intersection positions of the strokes and turning points of the stroke; after extracting feature points on the contour, two sequences are obtained: the sequence of points and the sequence of feature points on the contour can be expressed as:
edge[k]=(p 0 ,p 1 ,...,p i ,p n-1 ,p n ) (4)
fp(k)=(i 0 ,i 1 ,...,i m-1 ,i m ) (5)
in the formula, edkg [ k ]]Is the point sequence of the k-th contour, fp (k) is the characteristic point sequence of contour k, where i j Indicating that the jth feature point is at edkg [ k ]]The last point last of the jth characteristic point is i j -1, next point next is i j +1;
(1.1.3) number of feature points: the characteristic points of the profiles are numbered clockwise or anticlockwise, so that the profiles are numbered for distinguishing different profiles conveniently; the serial numbers of the contours are arranged according to the sequence of the highest points of the contours from top to bottom and from left to right in the program processing; and for the outline, there are inner edge and outer edge, if there are parts in the original picture of the typeface to form the closed connected region, after extracting the outline at this moment, will form the outer outline of a connected region and include its inner outline completely, call the outer outline as the father outline, and call its inner outline included as the son outline, when numbering the characteristic point, the father outline and son outline of an independent outline are numbered according to the opposite order;
(1.2) extracting coordinates of stroke starting and ending positions;
(1.3) converting the coordinates into coordinates of a pen falling point and a pen lifting point of the tail end of the mechanical arm in a world coordinate system;
(1.4) extracting stroke boundaries of the font primarily written by the mechanical arm;
(1.5) comparing the stroke boundary size of the initial written font with the given font;
(1.6) transmitting information to the force feedback section to determine the desired force;
the system for realizing the mechanical arm calligraphy writing method based on the boundary and force feedback comprises the following steps:
the visual part is used for acquiring image information of a given font, determining coordinates of a pen drop point and a pen lifting point at the tail end of the mechanical arm after processing to obtain stroke contour information of the font, and meanwhile determining expected force of the force feedback part according to a stroke boundary of the font written by the mechanical arm for the first time;
the mechanical arm part is used for controlling the position of the tail end of the writing brush according to the coordinates of the pen falling point and the pen lifting point at the tail end of the mechanical arm, and meanwhile, the contact force between the tail end of the writing brush and a writing paper board is controlled according to the coordinates in the direction perpendicular to the paper surface of the tail end of the writing brush adjusted by the expected force of the force feedback part;
the force feedback part is used for measuring the contact force between the tail end of the writing brush and the writing paper board in real time in the writing process and feeding the contact force back to the mechanical arm part;
and the processor part is used for processing images in the writing process and operating the mechanical arm, and controlling the track of the tail end of the writing brush driven by the mechanical arm part and the contact force between the writing brush and the writing paper board.
2. The mechanical arm calligraphy writing method based on boundary and force feedback of claim 1, characterized in that said processor part is a high-performance processor with GPU.
3. The mechanical arm calligraphy writing method based on boundary and force feedback as claimed in claim 2, characterized in that the model of the high-performance processor with GPU is NVIDIAJeston TX 2.
4. The mechanical arm calligraphy writing method based on boundary and force feedback as claimed in claim 1, characterized in that the visual part is a binocular camera.
5. The mechanical arm calligraphy writing method based on boundary and force feedback of claim 1, characterized in that said force feedback part uses torque sensor.
6. The method as claimed in claim 1, wherein the robotic arm portion is a six degree of freedom robotic arm.
CN201910566156.9A 2019-06-27 2019-06-27 Mechanical arm calligraphy writing system and method based on boundary and force feedback Active CN110271016B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910566156.9A CN110271016B (en) 2019-06-27 2019-06-27 Mechanical arm calligraphy writing system and method based on boundary and force feedback

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910566156.9A CN110271016B (en) 2019-06-27 2019-06-27 Mechanical arm calligraphy writing system and method based on boundary and force feedback

Publications (2)

Publication Number Publication Date
CN110271016A CN110271016A (en) 2019-09-24
CN110271016B true CN110271016B (en) 2022-08-16

Family

ID=67962412

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910566156.9A Active CN110271016B (en) 2019-06-27 2019-06-27 Mechanical arm calligraphy writing system and method based on boundary and force feedback

Country Status (1)

Country Link
CN (1) CN110271016B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111452049B (en) * 2020-04-16 2022-04-05 珠海格力智能装备有限公司 Robot motion control method and device
CN112248006A (en) * 2020-10-29 2021-01-22 哈工大机器人湖州国际创新研究院 Writing control method for mechanical arm writing brush
CN112192576A (en) * 2020-10-29 2021-01-08 哈工大机器人湖州国际创新研究院 Mechanical arm Chinese character writing control method
CN112959320A (en) * 2021-02-08 2021-06-15 广州富港万嘉智能科技有限公司 Method and device for controlling automatic writing of manipulator, manipulator and system
CN112975958B (en) * 2021-02-08 2023-04-28 广州富港生活智能科技有限公司 Method and device for generating path points of stroke orders of characters and manipulator control system
CN113506491A (en) * 2021-07-06 2021-10-15 高志坤 Auxiliary grid for window grid Chinese character writing exercise and window grid-based Chinese character writing method
CN114919313A (en) * 2022-04-05 2022-08-19 三峡大学 Device and method for generating man-machine interaction font and writing characters

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102436348A (en) * 2011-11-14 2012-05-02 中国科学院合肥物质科学研究院 Writing brush calligraphy expressing method based on force information
CN102528790A (en) * 2010-12-10 2012-07-04 上海理工大学 Calligraphy robot system based on force feedback
CN102938222A (en) * 2012-11-30 2013-02-20 重庆大学 Writing trainer based on force feedback
CN104875208A (en) * 2015-06-11 2015-09-02 赵楠 Calligraphy robot
CN106003033A (en) * 2016-06-16 2016-10-12 哈尔滨工程大学 Method of writing standard Chinese characters by using six-degree-of-freedom mechanical arm under control of force
WO2018039608A1 (en) * 2016-08-25 2018-03-01 Parade Technologies, Ltd. Determination of valid touches based on force shape

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102186638B (en) * 2008-08-29 2016-03-02 Abb研究有限公司 In the compliant device of the instrument of the arm end of industrial robot
CN201900645U (en) * 2010-12-10 2011-07-20 上海理工大学 Calligraphy robot system based on force feedback
CN105666502B (en) * 2016-04-12 2018-07-24 山东国兴智能科技有限公司 A kind of unmanned gas station complete autonomous oiling service robot and oiling method of servicing
CN108656112B (en) * 2018-05-15 2022-02-25 清华大学深圳研究生院 Mechanical arm zero-force control experiment system for direct teaching
CN109664300B (en) * 2019-01-09 2021-01-15 湘潭大学 Robot multi-style calligraphy copying method based on force sense learning

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102528790A (en) * 2010-12-10 2012-07-04 上海理工大学 Calligraphy robot system based on force feedback
CN102436348A (en) * 2011-11-14 2012-05-02 中国科学院合肥物质科学研究院 Writing brush calligraphy expressing method based on force information
CN102938222A (en) * 2012-11-30 2013-02-20 重庆大学 Writing trainer based on force feedback
CN104875208A (en) * 2015-06-11 2015-09-02 赵楠 Calligraphy robot
CN106003033A (en) * 2016-06-16 2016-10-12 哈尔滨工程大学 Method of writing standard Chinese characters by using six-degree-of-freedom mechanical arm under control of force
WO2018039608A1 (en) * 2016-08-25 2018-03-01 Parade Technologies, Ltd. Determination of valid touches based on force shape

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Robotic calligraphy-Learning how to write single strokes of Chinese and Japanese characters;SAMUEL Mueller;《2013 IEEE/RSJ》;20140106;全文 *
基于旋量理论的蛇形机器人运动学建模;魏武;《华南理工大学学报(自然科学版)》;20190228;全文 *

Also Published As

Publication number Publication date
CN110271016A (en) 2019-09-24

Similar Documents

Publication Publication Date Title
CN110271016B (en) Mechanical arm calligraphy writing system and method based on boundary and force feedback
CN105389539B (en) A kind of three-dimension gesture Attitude estimation method and system based on depth data
CN108762495B (en) Virtual reality driving method based on arm motion capture and virtual reality system
Ma et al. Kinect sensor-based long-distance hand gesture recognition and fingertip detection with depth information
CN106909216B (en) Kinect sensor-based humanoid manipulator control method
CN109993073B (en) Leap Motion-based complex dynamic gesture recognition method
CN1304931C (en) Head carried stereo vision hand gesture identifying device
CN102567703B (en) Hand motion identification information processing method based on classification characteristic
CN106055091A (en) Hand posture estimation method based on depth information and calibration method
CN102350700A (en) Method for controlling robot based on visual sense
CN107030692B (en) Manipulator teleoperation method and system based on perception enhancement
Schröder et al. Real-time hand tracking using synergistic inverse kinematics
CN109044651A (en) Method for controlling intelligent wheelchair and system based on natural gesture instruction in circumstances not known
CN108171133A (en) A kind of dynamic gesture identification method of feature based covariance matrix
CN108044625B (en) A kind of robot arm control method based on the virtual gesture fusion of more Leapmotion
Elbrechter et al. Bi-manual robotic paper manipulation based on real-time marker tracking and physical modelling
CN109471533A (en) A kind of VR/AR teaches indoor student's end system and its application method
CN108858188A (en) A kind of human body swivel and displacement mapping method applied to anthropomorphic robot
US11478922B2 (en) Robot teaching device and robot system
Zhang et al. A real-time upper-body robot imitation system
CN113172632A (en) Simplified robot vision servo control method based on images
CN203950270U (en) Body sense recognition device and by the man-machine interactive system of its mouse beacon keyboard operation
Raj et al. Static gesture recognition based precise positioning of 5-DOF robotic arm using FPGA
Munna et al. Design and implementation of a drawbot using Matlab and Arduino Mega
Rougeaux et al. Robust tracking by a humanoid vision system

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
GR01 Patent grant
GR01 Patent grant