CN107225573A - The method of controlling operation and device of robot - Google Patents

The method of controlling operation and device of robot Download PDF

Info

Publication number
CN107225573A
CN107225573A CN201710541556.5A CN201710541556A CN107225573A CN 107225573 A CN107225573 A CN 107225573A CN 201710541556 A CN201710541556 A CN 201710541556A CN 107225573 A CN107225573 A CN 107225573A
Authority
CN
China
Prior art keywords
angle
joint
robot
limbs
dimensional coordinate
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.)
Pending
Application number
CN201710541556.5A
Other languages
Chinese (zh)
Inventor
恽为民
程宗强
庞作伟
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.)
Shanghai Xpartner Robotics Co Ltd
Changzhou Xpartner Robotics Co Ltd
Original Assignee
Shanghai Xpartner Robotics Co Ltd
Changzhou Xpartner Robotics 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 Shanghai Xpartner Robotics Co Ltd, Changzhou Xpartner Robotics Co Ltd filed Critical Shanghai Xpartner Robotics Co Ltd
Priority to CN201710541556.5A priority Critical patent/CN107225573A/en
Publication of CN107225573A publication Critical patent/CN107225573A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • B25J9/1656Programme controls characterised by programming, planning systems for manipulators
    • B25J9/1671Programme controls characterised by programming, planning systems for manipulators characterised by simulation, either to verify existing program or to create and verify new program, CAD/CAM oriented, graphic oriented programming systems
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/40Robotics, robotics mapping to robotics vision
    • G05B2219/40519Motion, trajectory planning

Landscapes

  • Engineering & Computer Science (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Manipulator (AREA)

Abstract

The invention discloses the control method of robot motion and device.The control method includes:Using depth transducer, the three-dimensional coordinate of human skeleton node is gathered by frame;According to the three-dimensional coordinate, the angle of the bone node is calculated by space vector algorithm;The angle is sent to robot in the form of instructing, the angle of the robot in the instruction is performed corresponding action.The present invention utilizes depth transducer, by the three-dimensional coordinate of each bone node during frame collection human action, pass through space vector algorithm, the angle of the motion of bone node can be calculated, these angles are sent to robot by instruction, robot steering wheel can just perform corresponding action according to these angles, allow the robot to imitation, the action of duplicator, it is not necessary to which programming personnel individually carries out three-dimensional animation programming to each steering wheel;And include the instruction of some frames within one second, the action of robot is more accurate, smooth.

Description

The method of controlling operation and device of robot
Technical field
The present invention relates to the method for controlling operation and device of robotic technology field, more particularly to robot.
Background technology
Robotic programming refers to make robot complete the sequence of movement description that certain task is set.Robot motion and The instruction of operation is controlled by program, and common preparation method has two kinds:Teaching programmed method and off-line programing method. Wherein teaching programmed method includes teaching, editor and track reproducing, can pass through two kinds of ways of the teaching of teaching box and guiding type teaching Realize in footpath.Off-line programing method is to utilize computer graphics achievement, sets up geometrical model by graphics process instrument, passes through one A little planning algorithms obtain work planning track.
At present, robot motion programming is generally basede on PC platforms, and programming personnel needs more professional three-dimensional animation knowledge And technical background, it is programmed in particular for the joint freedom degrees for combining body mechanics and robot, relatively more difficult to grasp, action The degree of accuracy can be influenceed by programming personnel's technical merit, be also easy to occur some unnatural, slack situations of action.
The content of the invention
It is an object of the invention to propose the method for controlling operation and device of robot, robot can be allowed directly to simulate people Action, it is not necessary to robot steering wheel is programmed.
For up to this purpose, the present invention uses following technical scheme:
On the one hand, the present invention provides a kind of control method of robot motion, including:
Using the three-dimensional system of coordinate of depth transducer, the three-dimensional coordinate of human skeleton node is gathered by frame;
According to the three-dimensional coordinate, the angle of the bone node is calculated by space vector algorithm;
The angle is sent to robot in the form of instructing, the angle of the robot in the instruction is held The corresponding action of row.
Wherein, according to the three-dimensional coordinate, the angle of the bone node is calculated by space vector algorithm, including:
If the bone node is the first joint, the bone node for taking adjacent with first joint and remote trunk is Second joint;
First joint is connected the first limbs of composition with the second joint;
According to the three-dimensional coordinate, the movement angle of first limbs in the horizontal plane is calculated by space vector algorithm With the movement angle on vertical plane.
Wherein, according to the three-dimensional coordinate, the fortune of first limbs in the horizontal plane is calculated by space vector algorithm Dynamic angle and the movement angle on vertical plane, including:
According to the three-dimensional coordinate in first joint and the three-dimensional coordinate of the second joint, first limbs are represented For primary vector;
The primary vector and the angle of the Y-axis of the three-dimensional system of coordinate are calculated, as first limbs in vertical plane On movement angle;
The angle of the primary vector and the Z axis of the three-dimensional system of coordinate is calculated, as first limbs in horizontal plane On movement angle.
Further, according to the three-dimensional coordinate, the angle of the bone node is calculated by space vector algorithm, also Including:
If the bone node is second joint, the bone node for taking adjacent with the second joint and remote trunk is 3rd joint;
The second joint is connected the second limbs of composition with the 3rd joint;
According to the three-dimensional coordinate, calculated by space vector algorithm between first limbs and second limbs Angle.
Wherein, according to the three-dimensional coordinate, first limbs and second limbs are calculated by space vector algorithm Between angle, including:
According to the three-dimensional of the three-dimensional coordinate in first joint, the three-dimensional coordinate of the second joint and the 3rd joint First limbs are expressed as primary vector by coordinate, and second limbs are expressed as into secondary vector;
The angle between the primary vector and the secondary vector is calculated, as described first limbs and second limb Angle between body.
Further, after the three-dimensional coordinate for gathering human skeleton node by frame using depth transducer, in addition to:
According to the displacement of the skeletal joint in a frame, the movement velocity of the bone node is calculated;
The movement velocity is sent to robot in the form of instructing, makes the fortune of the robot in the instruction Dynamic speed performs corresponding action.
Wherein, the displacement according to the skeletal joint in a frame, calculates the movement velocity of the bone node, including:
Using the skeletal joint previous frame three-dimensional coordinate as initial state position;
Using the skeletal joint present frame three-dimensional coordinate as final states position;
The displacement is distance of the final states position to the initial state position;
The time span of movement velocity=displacement of the bone node/each frame.
Second aspect, the present invention provides a kind of control method of robot motion, including:
Received in frames includes the instruction of the angle of each bone node;
The angle in the instruction performs corresponding action.
The third aspect, the present invention provides a kind of control device of robot motion, including:
Depth transducer, the three-dimensional coordinate for gathering human skeleton node by frame;
Microprocessor, the angle for calculating the bone node by space vector algorithm;
Network communication equipment, for the angle to be sent into robot in the form of instructing, makes robot according to described The angle in instruction performs corresponding action.
Fourth aspect, the present invention provides a kind of control device of robot motion, including:
Command reception module, the instruction of the angle of each bone node is included for received in frames;
Action executing module, corresponding action is performed for the angle in the instruction.
Beneficial effects of the present invention are:
The present invention utilizes depth transducer, by the three-dimensional coordinate of each bone node during frame collection human action, leads to Space vector algorithm is crossed, the angle of the motion of bone node can be calculated, these angles are sent to robot, machine by instruction Device people steering wheel can just perform corresponding action according to these angles, allow the robot to imitation, the action of duplicator, it is not necessary to compile Cheng personnel individually carry out three-dimensional animation programming to each steering wheel;And include the instruction of some frames within one second, robot Action is more accurate, smooth.
Brief description of the drawings
Fig. 1 is the flow chart of the control method of robot motion in the embodiment of the present invention one.
Fig. 2 is the bone node schematic diagram of robot in the embodiment of the present invention one.
Fig. 3 is the flow chart of the control method of robot motion in the embodiment of the present invention two.
Fig. 4 is the structural representation of the control device of robot motion in the embodiment of the present invention three.
Fig. 5 is the structural representation of the control device of robot motion in the embodiment of the present invention four.
Embodiment
For make present invention solves the technical problem that, the technical scheme that uses and the technique effect that reaches it is clearer, below The technical scheme of the embodiment of the present invention will be described in further detail with reference to accompanying drawing, it is clear that described embodiment is only It is a part of embodiment of the invention, rather than whole embodiments.
Embodiment one
The present embodiment provides a kind of control method of robot motion, and the action for gathering people is imitated, again for robot System, is generally performed by a kind of control device of robot motion, and the device is realized by software and/or hardware, is typically integrated in Computer and its auxiliary equipment.
As shown in figure 1, the control method of the robot motion comprises the following steps:
S11, using depth transducer, the three-dimensional coordinate of human skeleton node is gathered by frame.
Depth transducer is generally CMOS infrared sensors (infrared camera), by infrared imaging, by its visual field Image represent that form a width depth image, black represents infinity by the form of black and white spectrum, it is pure white represent it is infinitely near, Different gray scales have corresponded to object to the different distance of sensor.Depth transducer catches the human body moved in depth image, by people Body is separated with background, and tells human body different parts;Skeleton binding is carried out for human body, the position of each bone node is followed the trail of Put, by the coordinate that each bone node is drawn after calculating.In the three-dimensional system of coordinate of depth transducer, people faces depth transducer, Direction straight up is Y-axis positive direction, and the direction of level to the right is X-axis positive direction, and horizontal rearwardly direction is that Z axis is square To.
The people for act collection is located at before the infrared camera of depth transducer, at it within sweep of the eye, it would be desirable to The action modeling of robot completion one time, depth transducer gathers depth image by frame, follows the trail of and calculates human skeleton section The three-dimensional coordinate of point.
S12, according to the three-dimensional coordinate, the angle of the bone node is calculated by space vector algorithm.
Fig. 2 is the bone node schematic diagram of robot in the embodiment of the present invention one.As shown in Fig. 2 first joint 101 For shoulder joint or hip joint, the second joint 102 is elbow joint or knee joint, and first limbs 111 are upper arm or thigh; XYZ in the three-dimensional system of coordinate such as Fig. 2 of depth transducer.
If the bone node is the first joint 101, bone adjacent with first joint 101 and away from trunk is taken Node is second joint 102;First joint 101 is connected the first limbs 111 of composition with the second joint 102;According to institute Three-dimensional coordinate is stated, first limbs 111 movement angle β in the horizontal plane is calculated and in vertical plane by space vector algorithm On movement angle α.
The three-dimensional coordinate in first joint 101 is A (x1,y1,z1), the three-dimensional coordinate of the second joint 102 is B (x2,y2,z2), then first limbs 111 are expressed as vectorTake Y-axis Unit vectorThe angle α for obtaining first limbs 111 and Y-axis positive direction can then be calculated, i.e., described Movement angle of one limbs 111 on vertical plane.As shown in Fig. 2 by taking the left upper arm of robot as an example, the line of left upper arm will be represented Duan Pingyi makes left shoulder joint overlap (in figure shown in dotted line) with the origin of coordinates, then ∠ α are motion angle of the left upper arm on vertical plane Degree.
Take the unit vector of Z axisThe angle β of first limbs 111 and Z axis negative direction is calculated, The movement angle of i.e. described first limbs 111 in the horizontal plane, ∠ β as shown in Figure 2.
First movement angle of limbs 111 in the horizontal plane and the movement angle on vertical plane determine the first limbs 111 position in three dimensions.And first limbs can be learnt from the change of the Y-coordinate of the second joint 102 111 motion state, if Y-coordinate value increases, then it represents that first limbs 111 are upward lift, if Y-coordinate value reduces, table It is to the bottom to show first limbs 111.
Or, first limbs 111 are projected in YOZ planes, the projection and the angle of Z axis negative direction are the first limb The movement angle of the in the vertical direction of body 111;First limbs 111 are projected in XOZ planes, the projection is square with X-axis To angle be the movement angle of the first limbs 111 in the horizontal direction.
If the bone node is second joint 102, bone adjacent with the second joint 102 and away from trunk is taken Node is the 3rd joint 103;The second joint 102 is connected the second limbs 112 of composition with the 3rd joint 103;According to institute Three-dimensional coordinate is stated, the angle γ between first limbs 111 and second limbs 112 is calculated by space vector algorithm. As shown in Fig. 2 the 3rd joint 103 is wrist joint or ankle-joint, the second limbs 112 are forearm or shank.
The three-dimensional coordinate in first joint 101 is A (x1,y1,z1), the three-dimensional seat of the second joint 102 It is designated as B (x2,y2,z2), the three-dimensional coordinate in the 3rd joint 103 is C (x3,y3,z3), then first limbs 111 It is expressed as vectorSecond limbs 112 are expressed as vectorDue to A, B, C, 3 points are sequentially connected, and calculate in a space plane VectorWith vectorAngle γ, the angle between as described first limbs 111 and second limbs 112, i.e. elbow Angle at joint or knee joint.As shown in Fig. 2 ∠ γ are the angle of upper arm and forearm, or thigh and shank angle.
S13, robot is sent to by the angle in the form of instructing, and makes the angle of the robot in the instruction Degree performs corresponding action.
In units of frame, the angle of each the bone node calculated is sent to robot in the form of instructing, or Person by instruction upload onto the server it is middle preserve, be sent to robot when needing robot motion, then by server.Robot is received To after instruction, the robot steering wheel on bone node can control corresponding robot limb to move according to the angle, make it Go out the same or analogous action of demonstration movement with people.
Depth transducer first can be filtered when gathering the three-dimensional coordinate of each bone node to depth image, then to sitting Mark data are screened, and by the relatively low rejection of data of confidence level, only retain data with a high credibility, advantage of this is that, when When frame number is more in one second, robot can be carried out certain data screening, can mitigated because data volume is huge and interim card occurs The data processing load of robot, reliable data can make robot more smooth and true in action.
But, when the frame number that depth transducer is given up is more, robot is after the action of present frame is completed, it is not known that Even how several frames act next frame backward, therefore, and gathering the three-dimensional of human skeleton node by frame using depth transducer sits After mark, in addition to:
According to the displacement of the skeletal joint in a frame, the movement velocity of the bone node is calculated;By the motion Speed is sent to robot in the form of instructing, and performs the movement velocity of the robot in the instruction corresponding dynamic Make.
So, in the angle-data missing of next frame, robot can be continued executing with according to the movement velocity of present frame Action, it is to avoid robot because no angle-data refers to and stopping action.
In the case of having tens frames in one second, the duration of a frame is very short, and the motion of a frame in bone node can be considered as directly Line is moved, therefore,
With the skeletal joint previous frame three-dimensional coordinate D1(x4,y4,z4) it is initial state position;
With the skeletal joint present frame three-dimensional coordinate D2(x5,y5,z5) it is final states position;
The displacement is distance of the final states position to the initial state position, i.e.,
Calculate one second in each frame time span t, then movement velocity=displacement of the bone node/each frame when Between length, i.e.,
The present embodiment utilizes depth transducer, by the three-dimensional coordinate of each bone node during frame collection human action, By space vector algorithm, the angle and movement velocity of the motion of bone node can be calculated, by these angles and movement velocity Robot is sent to by instruction, robot steering wheel performs corresponding action with regard to the limbs of energy control machine people, enables robot Enough imitations, the action of duplicator, it is not necessary to which programming personnel individually carries out three-dimensional animation programming to each steering wheel;And within one second Include the instruction of some frames, the action of robot is more accurate, smooth.
Embodiment two
The present embodiment provides a kind of control method of robot motion, applied to robot, passes through the control method, machine Device people is capable of the action of duplicator;The control method is performed by a kind of motion control device of robot, and the device is by soft Part and/or hardware are realized, are typically integrated in robot interior.
Fig. 3 is the flow chart of the control method of robot motion in the embodiment of the present invention two.As shown in figure 3, the control Method comprises the following steps:
S21, received in frames includes the instruction of the angle of each bone node.
Robot receives the instruction generated in above-described embodiment by network, and each one instruction of frame, instruction includes respectively The angle of bone node, also includes the movement velocity of bone node if necessary.
S22, the angle in the instruction performs corresponding action.
The parsing instruction, obtains the angle of each bone node, and the corresponding joint rotation of robot servos control makes machine Device people makes the action that the instruction is represented.
In the present embodiment, after robot received in frames instruction, steering wheel is performed according to the angle in instruction, it is not necessary to compiled Cheng personnel are individually programmed to each steering wheel, and the implementing result of robot is expected.And instructing can preserve and answer System, can allow robot to repeat when any required.
Embodiment three
The present embodiment provides a kind of control device of robot motion, for performing the control method described in embodiment one, Identical technical problem is solved, same technique effect is reached, the device is generally computer and its auxiliary equipment.
Fig. 4 is the structural representation of the control device of robot motion in the embodiment of the present invention three.As shown in figure 4, described Control device includes:
Depth transducer 31, the three-dimensional coordinate for gathering human skeleton node by frame
Microprocessor 32, the angle for calculating the bone node by space vector algorithm.
Network communication equipment 33, for the angle to be sent into robot in the form of instructing, makes robot according to institute State the angle in instruction and perform corresponding action.
In the present embodiment, depth transducer can be with one second more than ten frame even the frequency collection human skeleton section of tens frames The three-dimensional coordinate of point, after microprocessor is calculated, obtains the movement angle of each bone node, then by network by these angles Degree instruction is sent to robot, and people need not be programmed by robot is performed according to the angle in corresponding action, whole process Member is programmed to steering wheel, before needing robot to complete any action, and someone carries out action modeling and gathered, convenient Dependency degree reduction that is easy-to-use, programming more.
Example IV
The present embodiment provides a kind of control device of robot motion, for performing the control method described in embodiment two, The device is arranged in robot, and robot can be made to make same or analogous action according to the action modeling of people.
Fig. 5 is the structural representation of the control device of robot motion in the embodiment of the present invention four.As shown in figure 5, described Control device includes:
Command reception module 41, the instruction of the angle of each bone node is included for received in frames;
Action executing module 42, corresponding action is performed for the angle in the instruction.
In the present embodiment, after robot received in frames instruction, action executing module (i.e. steering wheel) is according to the angle in instruction Execution, it is not necessary to which programming personnel is individually programmed to each steering wheel, the implementing result of robot is expected.
The technical principle of the present invention is described above in association with specific embodiment.These descriptions are intended merely to explain the present invention's Principle, and limiting the scope of the invention can not be construed in any way.Based on explanation herein, the technology of this area Personnel, which would not require any inventive effort, can associate other embodiments of the present invention, and these modes are fallen within Within protection scope of the present invention.

Claims (10)

1. a kind of control method of robot motion, it is characterised in that including:
Using the three-dimensional system of coordinate of depth transducer, the three-dimensional coordinate of human skeleton node is gathered by frame;
According to the three-dimensional coordinate, the angle of the bone node is calculated by space vector algorithm;
The angle is sent to robot in the form of instructing, the angle of the robot in the instruction is performed phase The action answered.
2. control method according to claim 1, it is characterised in that according to the three-dimensional coordinate, calculated by space vector Method calculates the angle of the bone node, including:
If the bone node is the first joint, it is second to take adjacent with first joint and away from trunk bone node Joint;
First joint is connected the first limbs of composition with the second joint;
According to the three-dimensional coordinate, by space vector algorithm calculate first limbs movement angle in the horizontal plane and Movement angle on vertical plane.
3. control method according to claim 2, it is characterised in that according to the three-dimensional coordinate, calculated by space vector Method calculates the movement angle of the first limbs in the horizontal plane and the movement angle on vertical plane, including:
According to the three-dimensional coordinate in first joint and the three-dimensional coordinate of the second joint, first limbs are expressed as One vector;
The primary vector and the angle of the Y-axis of the three-dimensional system of coordinate are calculated, as first limbs on vertical plane Movement angle;
Calculate the angle of the Z axis of the primary vector and the three-dimensional system of coordinate, as first limbs in the horizontal plane Movement angle.
4. control method according to claim 2, it is characterised in that according to the three-dimensional coordinate, calculated by space vector Method calculates the angle of the bone node, in addition to:
If the bone node is second joint, it is the 3rd to take adjacent with the second joint and away from trunk bone node Joint;
The second joint is connected the second limbs of composition with the 3rd joint;
According to the three-dimensional coordinate, the folder between first limbs and second limbs is calculated by space vector algorithm Angle.
5. control method according to claim 4, it is characterised in that according to the three-dimensional coordinate, calculated by space vector Method calculates the angle between first limbs and second limbs, including:
Sat according to the three-dimensional in the three-dimensional coordinate in first joint, the three-dimensional coordinate of the second joint and the 3rd joint First limbs are expressed as primary vector, second limbs are expressed as into secondary vector by mark;
Calculate the angle between the primary vector and the secondary vector, as described first limbs and second limbs it Between angle.
6. control method according to claim 1, it is characterised in that gather human skeleton by frame using depth transducer After the three-dimensional coordinate of node, in addition to:
According to the displacement of the skeletal joint in a frame, the movement velocity of the bone node is calculated;
The movement velocity is sent to robot in the form of instructing, makes motion speed of the robot in the instruction Degree performs corresponding action.
7. control method according to claim 6, it is characterised in that according to the displacement of the skeletal joint in a frame, The movement velocity of the bone node is calculated, including:
Using the skeletal joint previous frame three-dimensional coordinate as initial state position;
Using the skeletal joint present frame three-dimensional coordinate as final states position;
The displacement is distance of the final states position to the initial state position;
The time span of movement velocity=displacement of the bone node/each frame.
8. a kind of control method of robot motion, it is characterised in that including:
Received in frames includes the instruction of the angle of each bone node;
The angle in the instruction performs corresponding action.
9. a kind of control device of robot motion, it is characterised in that including:
Depth transducer, the three-dimensional coordinate for gathering human skeleton node by frame;
Microprocessor, the angle for calculating the bone node by space vector algorithm;
Network communication equipment, for the angle to be sent into robot in the form of instructing, makes robot according to the instruction In the angle perform corresponding action.
10. a kind of control device of robot motion, it is characterised in that including:
Command reception module, the instruction of the angle of each bone node is included for received in frames;
Action executing module, corresponding action is performed for the angle in the instruction.
CN201710541556.5A 2017-07-05 2017-07-05 The method of controlling operation and device of robot Pending CN107225573A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710541556.5A CN107225573A (en) 2017-07-05 2017-07-05 The method of controlling operation and device of robot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710541556.5A CN107225573A (en) 2017-07-05 2017-07-05 The method of controlling operation and device of robot

Publications (1)

Publication Number Publication Date
CN107225573A true CN107225573A (en) 2017-10-03

Family

ID=59956414

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710541556.5A Pending CN107225573A (en) 2017-07-05 2017-07-05 The method of controlling operation and device of robot

Country Status (1)

Country Link
CN (1) CN107225573A (en)

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106493732A (en) * 2016-10-19 2017-03-15 天津奇幻岛科技有限公司 A kind of method of use virtual three-dimensional animation control game mechanical arm
CN107953331A (en) * 2017-10-17 2018-04-24 华南理工大学 A kind of human body attitude mapping method applied to anthropomorphic robot action imitation
CN108392207A (en) * 2018-02-09 2018-08-14 西北大学 A kind of action identification method based on posture label
CN108568820A (en) * 2018-04-27 2018-09-25 深圳市商汤科技有限公司 Robot control method and device, electronic equipment and storage medium
CN108710845A (en) * 2018-05-11 2018-10-26 北京旷视科技有限公司 The correlating method of target object and article, apparatus and system
CN108858205A (en) * 2018-09-03 2018-11-23 鲁东大学 A kind of smoothing processing method based on anthropomorphic robot joint control, device and system
CN108858188A (en) * 2018-06-20 2018-11-23 华南理工大学 A kind of human body swivel and displacement mapping method applied to anthropomorphic robot
CN109108970A (en) * 2018-08-22 2019-01-01 南通大学 A kind of reciprocating mechanical arm control method based on bone nodal information
CN109333527A (en) * 2018-08-30 2019-02-15 苏州博众机器人有限公司 A kind of exchange method, device, electronic equipment and storage medium with robot
CN109685828A (en) * 2018-12-03 2019-04-26 深圳市越疆科技有限公司 Based on targeted attitude deep learning tracking acquisition method, learning system and storage medium
CN109960178A (en) * 2017-12-26 2019-07-02 深圳市优必选科技有限公司 Robot and joint motion control method and device thereof
CN110039546A (en) * 2019-05-13 2019-07-23 上海鲸鱼机器人科技有限公司 For controlling the method and robot of robot motion
CN110480634A (en) * 2019-08-08 2019-11-22 北京科技大学 A kind of arm guided-moving control method for manipulator motion control
CN111208783A (en) * 2019-12-30 2020-05-29 深圳市优必选科技股份有限公司 Action simulation method, device, terminal and computer storage medium
CN111968206A (en) * 2020-08-18 2020-11-20 网易(杭州)网络有限公司 Animation object processing method, device, equipment and storage medium
CN112651325A (en) * 2020-12-22 2021-04-13 中国传媒大学 Interaction method and device of performer and virtual object and computer equipment
CN112894828A (en) * 2021-03-02 2021-06-04 乐聚(深圳)机器人技术有限公司 Robot motion simulation method, device, equipment and storage medium
CN113043267A (en) * 2019-12-26 2021-06-29 深圳市优必选科技股份有限公司 Robot control method, device, robot and computer readable storage medium
WO2021169839A1 (en) * 2020-02-29 2021-09-02 华为技术有限公司 Action restoration method and device based on skeleton key points
CN114248266A (en) * 2021-09-17 2022-03-29 之江实验室 Anthropomorphic action track generation method and device for double-arm robot and electronic equipment
CN114519867A (en) * 2022-02-21 2022-05-20 首都体育学院 Body activity intensity estimation method based on differential time three-dimensional human body structured depth regression model

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20120017334A (en) * 2010-08-18 2012-02-28 삼성중공업 주식회사 Method and apparatus for controlling 4-degree of freedom robot using 6-degree of freedom controller
CN102814814A (en) * 2012-07-31 2012-12-12 华南理工大学 Kinect-based man-machine interaction method for two-arm robot
CN103399637A (en) * 2013-07-31 2013-11-20 西北师范大学 Man-computer interaction method for intelligent human skeleton tracking control robot on basis of kinect
CN103489000A (en) * 2013-09-18 2014-01-01 柳州市博源环科科技有限公司 Achieving method of human movement recognition training system
US20150224648A1 (en) * 2014-02-13 2015-08-13 GM Global Technology Operations LLC Robotic system with 3d box location functionality
CN105252532A (en) * 2015-11-24 2016-01-20 山东大学 Method of cooperative flexible attitude control for motion capture robot
CN106078752A (en) * 2016-06-27 2016-11-09 西安电子科技大学 Method is imitated in a kind of anthropomorphic robot human body behavior based on Kinect

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20120017334A (en) * 2010-08-18 2012-02-28 삼성중공업 주식회사 Method and apparatus for controlling 4-degree of freedom robot using 6-degree of freedom controller
CN102814814A (en) * 2012-07-31 2012-12-12 华南理工大学 Kinect-based man-machine interaction method for two-arm robot
CN103399637A (en) * 2013-07-31 2013-11-20 西北师范大学 Man-computer interaction method for intelligent human skeleton tracking control robot on basis of kinect
CN103489000A (en) * 2013-09-18 2014-01-01 柳州市博源环科科技有限公司 Achieving method of human movement recognition training system
US20150224648A1 (en) * 2014-02-13 2015-08-13 GM Global Technology Operations LLC Robotic system with 3d box location functionality
CN105252532A (en) * 2015-11-24 2016-01-20 山东大学 Method of cooperative flexible attitude control for motion capture robot
CN106078752A (en) * 2016-06-27 2016-11-09 西安电子科技大学 Method is imitated in a kind of anthropomorphic robot human body behavior based on Kinect

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106493732A (en) * 2016-10-19 2017-03-15 天津奇幻岛科技有限公司 A kind of method of use virtual three-dimensional animation control game mechanical arm
CN107953331B (en) * 2017-10-17 2019-12-10 华南理工大学 human body posture mapping method applied to humanoid robot action simulation
CN107953331A (en) * 2017-10-17 2018-04-24 华南理工大学 A kind of human body attitude mapping method applied to anthropomorphic robot action imitation
CN109960178B (en) * 2017-12-26 2020-10-16 深圳市优必选科技有限公司 Robot and joint motion control method and device thereof
CN109960178A (en) * 2017-12-26 2019-07-02 深圳市优必选科技有限公司 Robot and joint motion control method and device thereof
CN108392207A (en) * 2018-02-09 2018-08-14 西北大学 A kind of action identification method based on posture label
CN108392207B (en) * 2018-02-09 2020-12-11 西北大学 Gesture tag-based action recognition method
CN108568820A (en) * 2018-04-27 2018-09-25 深圳市商汤科技有限公司 Robot control method and device, electronic equipment and storage medium
CN108710845A (en) * 2018-05-11 2018-10-26 北京旷视科技有限公司 The correlating method of target object and article, apparatus and system
CN108858188A (en) * 2018-06-20 2018-11-23 华南理工大学 A kind of human body swivel and displacement mapping method applied to anthropomorphic robot
CN109108970A (en) * 2018-08-22 2019-01-01 南通大学 A kind of reciprocating mechanical arm control method based on bone nodal information
CN109108970B (en) * 2018-08-22 2021-11-09 南通大学 Interactive mechanical arm control method based on skeleton node information
CN109333527A (en) * 2018-08-30 2019-02-15 苏州博众机器人有限公司 A kind of exchange method, device, electronic equipment and storage medium with robot
CN108858205A (en) * 2018-09-03 2018-11-23 鲁东大学 A kind of smoothing processing method based on anthropomorphic robot joint control, device and system
CN109685828A (en) * 2018-12-03 2019-04-26 深圳市越疆科技有限公司 Based on targeted attitude deep learning tracking acquisition method, learning system and storage medium
CN110039546A (en) * 2019-05-13 2019-07-23 上海鲸鱼机器人科技有限公司 For controlling the method and robot of robot motion
CN110480634A (en) * 2019-08-08 2019-11-22 北京科技大学 A kind of arm guided-moving control method for manipulator motion control
CN113043267A (en) * 2019-12-26 2021-06-29 深圳市优必选科技股份有限公司 Robot control method, device, robot and computer readable storage medium
CN111208783A (en) * 2019-12-30 2020-05-29 深圳市优必选科技股份有限公司 Action simulation method, device, terminal and computer storage medium
CN111208783B (en) * 2019-12-30 2021-09-17 深圳市优必选科技股份有限公司 Action simulation method, device, terminal and computer storage medium
WO2021169839A1 (en) * 2020-02-29 2021-09-02 华为技术有限公司 Action restoration method and device based on skeleton key points
CN111968206A (en) * 2020-08-18 2020-11-20 网易(杭州)网络有限公司 Animation object processing method, device, equipment and storage medium
CN111968206B (en) * 2020-08-18 2024-04-30 网易(杭州)网络有限公司 Method, device, equipment and storage medium for processing animation object
CN112651325A (en) * 2020-12-22 2021-04-13 中国传媒大学 Interaction method and device of performer and virtual object and computer equipment
CN112894828A (en) * 2021-03-02 2021-06-04 乐聚(深圳)机器人技术有限公司 Robot motion simulation method, device, equipment and storage medium
CN112894828B (en) * 2021-03-02 2022-05-20 乐聚(深圳)机器人技术有限公司 Robot motion simulation method, device, equipment and storage medium
CN114248266A (en) * 2021-09-17 2022-03-29 之江实验室 Anthropomorphic action track generation method and device for double-arm robot and electronic equipment
CN114248266B (en) * 2021-09-17 2024-03-26 之江实验室 Anthropomorphic action track generation method and device of double-arm robot and electronic equipment
CN114519867A (en) * 2022-02-21 2022-05-20 首都体育学院 Body activity intensity estimation method based on differential time three-dimensional human body structured depth regression model

Similar Documents

Publication Publication Date Title
CN107225573A (en) The method of controlling operation and device of robot
CN110480634B (en) Arm guide motion control method for mechanical arm motion control
CN107833271B (en) Skeleton redirection method and device based on Kinect
CN103271784B (en) Man-machine interactive manipulator control system and method based on binocular vision
CN108161882B (en) Robot teaching reproduction method and device based on augmented reality
Fritsche et al. First-person tele-operation of a humanoid robot
US20110128292A1 (en) Dynamics-based motion generation apparatus and method
JP6826069B2 (en) Robot motion teaching device, robot system and robot control device
WO2022227664A1 (en) Robot posture control method, robot, storage medium and computer program
CN108422421A (en) The muscle of skeletal muscle formula robot controls and assembly method
Metta et al. Learning to track colored objects with log-polar vision
WO2022134702A1 (en) Action learning method and apparatus, storage medium, and electronic device
US11422625B2 (en) Proxy controller suit with optional dual range kinematics
Rosado et al. Reproduction of human arm movements using Kinect-based motion capture data
Aleotti et al. Position teaching of a robot arm by demonstration with a wearable input device
Namiki et al. A hierarchical control architecture for high-speed visual servoing
JPS59229619A (en) Work instructing system of robot and its using
CN116160441A (en) Robot teleoperation collision prevention method based on human arm motion prediction
CN115018962A (en) Human motion attitude data set generation method based on virtual character model
Rusanu et al. Virtual robot arm controlled by hand gestures via Leap Motion Sensor
Li et al. Bio-Inspired Locomotion Control of Gecko-Mimic Robot: From Biological Observation to Robot Control
Bai et al. Kinect-based hand tracking for first-person-perspective robotic arm teleoperation
Jayasurya et al. Gesture controlled AI-robot using Kinect
Girard et al. A Motion Mapping System for Humanoids that Provides Immersive Telepresence Experiences
Pan et al. A Study of Intelligent Rehabilitation Robot Imitation of Human Behavior Based on Kinect

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20171003

RJ01 Rejection of invention patent application after publication