CN106095095A - A kind of amusement exchange method towards intelligent robot and system - Google Patents
A kind of amusement exchange method towards intelligent robot and system Download PDFInfo
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- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
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Abstract
A kind of amusement exchange method towards intelligent robot and system, the method comprises the following steps: show the multi-modal data corresponding with presetting Entertainment Scene；Obtain the multi-modal with learning input of user；Multi-modal process with learning input described, and according to the result output feedback information corresponding with described default Entertainment Scene.The method and system improve the interaction capabilities of intelligent robot, and then improve Consumer's Experience and user's viscosity of intelligent robot.
Description
Technical field
The present invention relates to human-computer interaction technique field, particularly relate to a kind of amusement exchange method towards intelligent robot and
System.
Background technology
Along with development and the continuous progress of artificial intelligence technology of computer technology, the application of intelligent robot is more
Coming the most extensive, intelligent robot technology is just in fast development, and level of intelligence and the degree that personalizes of robot also improve constantly.
Existing intelligent robot by improving Consumer's Experience and user's viscosity alternately with user.But, along with user
Getting more and more the interaction demand of intelligent robot, the interaction capabilities of intelligent robot needs raising badly.
Summary of the invention
One of the technical problem to be solved is to need to provide a kind of face improving intelligent robot interaction capabilities
To the amusement exchange method of intelligent robot.
In order to solve above-mentioned technical problem, embodiments herein provide firstly a kind of amusement towards intelligent robot
Exchange method, comprises the following steps:
Show the multi-modal data corresponding with default Entertainment Scene；
Obtain the multi-modal with learning input of user；
To described multi-modal with learn input process, and according to result output corresponding with described default Entertainment Scene
Feedback information.
According to one embodiment of present invention, when described default Entertainment Scene is dancing interaction scenarios, to described multimode
State processes with learning input, specifically includes: obtain produced by user multi-modal with learning input by vision, and will be from multimode
State is moved with the dancing passing judgment on user with standard operation information comparison with learning the action message in the video data extracted in input
Make whether standard.
According to one embodiment of present invention, when described default Entertainment Scene is singing interaction scenarios, to described multimode
State processes with learning input, specifically includes: gather produced by user multi-modal with learning input by audition, and will be from multimode
State is with learning the tone/cadence information in the voice data extracted in input with concert pitch/cadence information comparison to pass judgment on user
Multi-modal with learning the whether standard of inputting.
According to one embodiment of present invention, the method is further comprising the steps of:
When described result is less than established standards, output instructs the multi-modal interaction data of class to improve the corresponding of user
Performance level under Entertainment Scene.
According to one embodiment of present invention, the method is further comprising the steps of:
The feedback information corresponding with described default Entertainment Scene is published in social platform.
Present invention also offers a kind of amusement interactive system towards intelligent robot, including with lower module:
Multi-modal data output module, it is for showing the multi-modal data corresponding with presetting Entertainment Scene；
Multi-modal with learning input acquisition module, its user obtains the multi-modal with learning input of user；
Process feedback module, its for described multi-modal with learn input process, and according to result output with
The feedback information that described default Entertainment Scene is corresponding.
According to one embodiment of present invention, when described default Entertainment Scene is dancing interaction scenarios, described process is anti-
Feedback module specifically performs following steps: obtain produced by user multi-modal with learning input by vision, and will from multi-modal with
The action message learned in the video data extracted in input with standard operation information comparison to pass judgment on the dance movement of user is
No standard.
According to one embodiment of present invention, when described default Entertainment Scene is singing interaction scenarios, described process is anti-
Feedback module specifically performs following steps: gather produced by user multi-modal with learning input by audition, and will from multi-modal with
Learn tone/cadence information and concert pitch/cadence information comparison in the voice data extracted in input with pass judgment on user
Multi-modal with learning the whether standard of inputting.
According to one embodiment of present invention, described multi-modal data output module is additionally configured to: in described result
During less than established standards, output instructs the multi-modal interaction data of class with the performance level under the corresponding Entertainment Scene of raising user.
According to one embodiment of present invention, this system also includes with lower module:
Feedback information release module, it is social flat for being published to by the feedback information corresponding with described default Entertainment Scene
On platform.
Compared with prior art, the one or more embodiments in such scheme can have the advantage that or useful effect
Really:
The amusement exchange method towards intelligent robot that the embodiment of the present invention is provided is by showing and default public place of entertainment
The multi-modal data that scape is corresponding, obtain user for multi-modal data multi-modal with learn input, then to multi-modal with learn defeated
Enter to process, and export the feedback information corresponding with presetting Entertainment Scene according to result, improve intelligent robot
Interaction capabilities, and then improve Consumer's Experience and user's viscosity.
Meanwhile, the method can also user multi-modal with learn input do not mate with preset standard time, to user output
Instruct the multi-modal interaction data of class, thus help user that self is improved.In this way, the method can be further
Improve the Consumer's Experience of intelligent robot, this user's viscosity being favorably improved intelligent robot and product competitiveness.
Other features and advantages of the present invention will illustrate in the following description, and, partly become from description
Obtain it is clear that or understand by implementing technical scheme.The purpose of the present invention and other advantages can be passed through
Structure specifically noted in description, claims and accompanying drawing and/or flow process realize and obtain.
Accompanying drawing explanation
Accompanying drawing is used for providing being further appreciated by of the technical scheme to the application or prior art, and constitutes description
A part.Wherein, the accompanying drawing expressing the embodiment of the present application is used for explaining the technical side of the application together with embodiments herein
Case, but it is not intended that the restriction to technical scheme.
Fig. 1 is according to an embodiment of the invention towards the schematic flow sheet entertaining exchange method of intelligent robot；
Fig. 2 is in accordance with another embodiment of the present invention towards the flow process signal entertaining exchange method of intelligent robot
Figure；
Fig. 3 is the flow process signal of the amusement exchange method towards intelligent robot according to another embodiment of the present invention
Figure；
Fig. 4 is according to an embodiment of the invention towards the structured flowchart of amusement interactive system of intelligent robot.
Detailed description of the invention
Describe embodiments of the present invention in detail below with reference to drawings and Examples, whereby how the present invention is applied
Technological means solves technical problem, and the process that realizes reaching relevant art effect can fully understand and implement according to this.This Shen
Please each feature in embodiment and embodiment, can be combined with each other under not colliding premise, the technical scheme formed
All within protection scope of the present invention.
Meanwhile, in the following description, many details are elaborated for illustrative purposes, to provide real to the present invention
Execute the thorough understanding of example.It will be apparent, however, to one skilled in the art, that the present invention can tool here
Body details or described ad hoc fashion are implemented.
It addition, the step shown in the flow chart of accompanying drawing can be in the computer system of such as one group of computer executable instructions
Middle execution.And, although show logical order in flow charts, but in some cases, can be to be different from herein
Step shown or described by order execution.
Existing intelligent robot is by problem answer or life nonproductive poll with the interactive mode of user, lacks intelligence
Robot and user carry out the interactive mode entertained.But, along with the interaction demand of intelligent robot is got more and more by user, need
Want intelligent robot to improve interaction capabilities and promote Consumer's Experience, owing to existing intelligent robot cannot be entertained with user
Alternately, this most just have impact on Consumer's Experience.
For the above-mentioned problems in the prior art, the invention provides a kind of new amusement towards intelligent robot
Exchange method.The method can generate the feedback information of correspondence based on multi-modal interaction data and Entertainment Scene, so that
Obtain and good interaction between user and intelligent robot, can be formed.
In order to clearly illustrate the amusement exchange method towards intelligent robot provided by the present invention and system
Realize principle, realize process and advantage, be further described below in conjunction with different embodiments.
Embodiment one:
Fig. 1 shows the flow chart entertaining exchange method towards intelligent robot that the present embodiment is provided.
As it is shown in figure 1, first the method that the present embodiment is provided shows with to preset Entertainment Scene corresponding in step S101
Multi-modal data.It is pointed out that in different embodiments of the invention, according to the difference of above-mentioned default Entertainment Scene,
The multi-modal data that the method is exported in step S101 can present in different forms, the invention is not restricted to this.
Such as, if current Entertainment Scene is " dancing interaction scenarios ", then the method will pass through intelligence in step S101
The voice system of energy robot configuration exports corresponding dance music or dance movement；If current Entertainment Scene is for " to sing
Song interaction scenarios ", then the song selected by user is just played out in step S101 by the method.
Certainly, in different embodiments of the invention, according to actual needs, above-mentioned default Entertainment Scene can be multiple many
The Entertainment Scene of sample, the invention is not restricted to this.It is also desirable to it is noted that the method judges the concrete amusement being presently in
The mode of scene both can be that the selection by user is determined, it is also possible to by being analyzed to determine to interaction data,
The present invention is similarly not so limited to.
When, after the displaying completing the multi-modal data corresponding with presetting Entertainment Scene, the method obtains use in step s 102
Family for multi-modal data multi-modal with learn input.Specifically, in the present embodiment, the method can pass through intelligent robot institute
The multiple sensors of configuration obtains the data of the various ways that user is exported.
Such as, if current Entertainment Scene is " dancing is mutual ", then play by the voice system of intelligent robot
Corresponding dance music or while presenting corresponding dance movement by the limbs of intelligent robot, the method is in step S102
In obtain, by the visual system (photographic head that such as intelligent robot is configured) of intelligent robot, the action that user is current
Data, this action data be user for multi-modal data multi-modal with learn input.
And if current Entertainment Scene is " singing interaction scenarios ", then play by the voice system of intelligent robot
While corresponding song, this method is in step s 102 by auditory system (the such as intelligent robot institute of intelligent robot
The audio sensor of configuration) obtain the voice data that user is current, this voice data is user for multi-modal data
Multi-modal with learning input.
When get user for multi-modal data multi-modal with learn input after, as it is shown in figure 1, the method will be in step
S103 multi-modal processes with learning input acquired, and according to result output with to preset Entertainment Scene corresponding
Feedback information.
Such as, if current Entertainment Scene is " dancing interaction scenarios ", then mentioned by as described above, the party
Method will get produced by user multi-modal with learning input by the visual system of intelligent robot in step S102.Obtaining
This multi-modal with learn input after, the method can in step s 103 from this multi-modal with learn input (such as video data) extraction
Action message in video data, and the action message extracted is compared with preset standard action message, thus root
The dance movement whether standard of user is passed judgment on according to comparison result.
Specifically, in the present embodiment, the method compares with preset standard action message in the action message that will get
During to, described action message can for by video data according to the letter of the set of actions corresponding to the time point of default division
Breath, does not limit to.
Preferably, the action message of user can be obtained by the way of Model Matching or neural network recognization with default
The matching degree of standard operation information, and then according to this matching degree to pass judgment on the dance movement whether standard of user.
Wherein, if the action message of user is the highest with the matching degree of preset standard action message, then then represent use
The dance movement at family the most more standard.If the action message of user reaches default with the matching degree of preset standard action message
Matching threshold, the method can control intelligent robot and export voice messaging and/or the such as " drum of such as " jump very good "
The palm " etc. action message；And if the matching degree of the action message of user and preset standard action message is less than preset matching threshold
Value, the party's rule can control the voice messaging of intelligent robot output such as " apparently we must practise again ".
Similarly, if current Entertainment Scene is " singing interaction scenarios ", then mentioned by as described above, should
Method will get produced by user multi-modal with learning input by the auditory system of intelligent robot in step S102.?
To this multi-modal with learn input after, the method can in step s 103 from this multi-modal with learn input (such as voice data) carry
Get the tone information in voice data and/or cadence information, and by the tone information extracted and/or cadence information with preset
Concert pitch information and/or cadence information are compared, thus pass judgment on the dance movement whether standard of user according to comparison result.
Specifically, in the present embodiment, the method is at the tone information that will get and/or cadence information and preset standard sound
During tune information and/or cadence information are compared, can come by the way of Model Matching or neural network recognization
To the tone information of user and/or cadence information and preset standard tone information and/or the matching degree of cadence information, Jin Ergen
According to this matching degree to pass judgment on the multi-modal with learning the whether standard of inputting of user.
It can be seen that the amusement exchange method towards intelligent robot that the present embodiment is provided passes through from foregoing description
Show the multi-modal data corresponding with default Entertainment Scene, obtain multi-modal with learning input, so for multi-modal data of user
Process with learning input multi-modal afterwards, and according to the result output feedback information corresponding with presetting Entertainment Scene, carry
The high interaction capabilities of intelligent robot, and then improve Consumer's Experience and user's viscosity.
Embodiment two:
Fig. 2 shows the flow chart entertaining exchange method towards intelligent robot that the present embodiment is provided.
As in figure 2 it is shown, the method that the present embodiment is provided is shown the most in step s 201 with to preset Entertainment Scene corresponding
Multi-modal data, in step S202, obtain multi-modal with learning input, and in step for this multi-modal data of user subsequently
Rapid S203 multi-modal processes with learning input accessed in step S202, according to result output with preset joy
The feedback information that happy scene is corresponding.
It is pointed out that step S201 in the present embodiment realizes principle and the process that realizes with above-mentioned to step S203
In embodiment one step S101 to the content involved by step S103 be similar to, therefore at this no longer to step S201 to step S203
Implement principle and the process that realizes repeats.
As in figure 2 it is shown, in the present embodiment, after the feedback information that output is corresponding with default Entertainment Scene, the method also exists
Step S204 judging, whether the result obtained by step S203 is less than preset standard.If result is less than presetting
Standard, then the party's rule generates in step S205 and exports and instructs the multi-modal interaction data of class, to help user to improve self
Level.
Such as, if current Entertainment Scene be " dancing interaction scenarios ", then the method by the action message extracted and
Preset standard action message is compared, thus passes judgment on the dance movement whether standard of user according to comparison result.
Specifically, in the present embodiment, the method compares with preset standard action message in the action message that will get
During to, action message and the preset standard of user can be obtained by the way of Model Matching or neural network recognization
The matching degree of action message, and then according to this matching degree to pass judgment on the dance movement whether standard of user.
If the action message of user is less than preset matching threshold value, the method with the matching degree of preset standard action message
Then can export in step S205 and instruct the multi-modal interaction data of class.Specifically, the method can be by believing the action of user
Breath and preset standard action message are analyzed, and draw the part that matching degree is worst therebetween, and by this partial act again
Present to user, to help user to improve self action.
It is pointed out that its output refers to if current Entertainment Scene is other interaction scenarios such as " singing interaction scenarios "
Principle and the process of leading the multi-modal interaction data of class are similar with above-mentioned " dancing interaction scenarios ", therefore no longer mutual to other at this
Scene is described one by one.
It can be seen that the amusement exchange method towards intelligent robot that provided of the present embodiment is in reality from foregoing description
On the basis of executing the method that example one is provided, additionally it is possible to user multi-modal with learn input do not mate with preset standard time, to
The multi-modal interaction data of class is instructed in user's output, thus helps user to improve self.In this way, the method energy
Enough Consumer's Experience improving intelligent robot further, this user's viscosity being favorably improved intelligent robot and product competition
Power.
Embodiment three:
Fig. 3 shows the flow chart entertaining exchange method towards intelligent robot that the present embodiment is provided.
As it is shown on figure 3, first the method that the present embodiment is provided shows with to preset Entertainment Scene corresponding in step S301
Multi-modal data, obtain multi-modal with learning input, and in step for this multi-modal data of user the most in step s 302
Rapid S303 multi-modal processes with learning input accessed in step S302, according to result output with preset joy
The feedback information that happy scene is corresponding.
It is pointed out that step S301 in the present embodiment realizes principle and the process that realizes with above-mentioned to step S303
In embodiment one step S101 to the content involved by step S103 be similar to, therefore at this no longer to step S301 to step S303
Implement principle and the process that realizes repeats.
As it is shown on figure 3, in the present embodiment, after the feedback information that output is corresponding with default Entertainment Scene, the method also exists
Feedback feedback information obtained in step S303 is published in social platform by step S304.
Such as, if current Entertainment Scene is " singing interaction scenarios ", then mentioned by as described above, the party
Method will get produced by user multi-modal with learning input by the auditory system of intelligent robot in step S302.Obtaining
This multi-modal with learn input after, the method can in step S303 from this multi-modal with learn input (such as voice data) extraction
Tone information in voice data and/or cadence information, and by the tone information extracted and/or cadence information and pre-bidding
Quasi-tone information and/or cadence information are compared, thus pass judgment on the dance movement whether standard of user according to comparison result.
In step s 304, evaluation result obtained in step S303 can be sent to specific social platform by the method
On, so that other people in the social circle of this user also are able to recognize the evaluation result of this user.Such as " youngster
Tong Xue sings " this Entertainment Scene, the method passes judgment on out the standard journey of the child user nursery rhymes first to a certain head or a few of use
Degree, and this result is uploaded to the social circle (such as class group) of this child user, so contribute in this social circle
The atmosphere form a kind of competition, comparing, thus contribute to the raising of user capability.
The present invention also provides for giving a kind of amusement interactive system towards intelligent robot, and Fig. 4 shows in the present embodiment
The structural representation of this system.
As shown in Figure 4, the amusement interactive system 400 that the present embodiment is provided preferably includes: multi-modal data output mould
Block 401, multi-modal with learn input acquisition module 402 and process feedback module 403.Multi-modal data output module 401 is used for
Show the multi-modal data corresponding with default Entertainment Scene.Wherein, multi-modal data is used for controlling intelligent robot to perform this pre-
If the scene operation of Entertainment Scene.
Default Entertainment Scene in the present embodiment preferably can include " dancing interaction scenarios " and " singing interaction scenarios ",
Thus, multi-modal data can be action message and voice messaging.Intelligent robot can come to user according to multi-modal data
(this example is child user) carries out dance movement demonstration and singing acoustic expression.
After multi-modal data output module 401 completes the displaying of the multi-modal data corresponding with presetting Entertainment Scene, many
Mode with learn input acquisition module 402 can persistently obtain user for multi-modal data multi-modal with learn input.Specifically, originally
In embodiment, multi-modal with learning polytype sensor that input acquisition module 402 can be configured by intelligent robot
Obtain the data of the various ways that user is exported.Such as, multi-modal with learn input acquisition module 402 can pass through intelligent machine
The imageing sensor (such as photographic head) that device people is configured obtains the view data (such as user action data) of user, it is possible to
With the audio sensor (such as mike) configured by intelligent robot come user user voice data (such as user's
Voice).
In the present embodiment, multi-modal with learn input acquisition module 402 can by get multi-modal with learn input be transferred to
Process feedback module 403, to be further processed, and according to place with learning input multi-modal by processing feedback module 403
The feedback information that reason result output is corresponding with presetting Entertainment Scene.
Such as, if current Entertainment Scene be " dancing interaction scenarios ", multi-modal input acquisition module 402 and will pass through with learning
The visual system of intelligent robot gets produced by user multi-modal with learning input.Processing feedback module 403 can be many from this
Mode extracts the action message in video data with learning in input (such as video data), and by the action message extracted with
Preset standard action message is compared, thus passes judgment on the dance movement whether standard of user according to comparison result.
Similarly, if current Entertainment Scene is " singing interaction scenarios ", processing feedback module 403 can be from multi-modal with learning
It is multi-modal with learning the tone letter extracting in voice data in input (such as voice data) that input acquisition module 402 transmission comes
Breath and/or cadence information, and by the tone information extracted and/or cadence information and preset standard tone information and/or rhythm
Information is compared, thus passes judgment on the dance movement whether standard of user according to comparison result.
As shown in Figure 4, in the present embodiment, this amusement interactive system the most also includes: feedback information release module 404.
Wherein, multi-modal data output module is additionally configured to: according to multi-modal with learn input obtained by result less than preset
During standard, can export and instruct the multi-modal interaction data of class, to improve the performance level under the corresponding Entertainment Scene of user.And feed back
The evaluation result processing feedback module 403 can be sent in specific social platform by information issuing module 404, so that should
Other people in the social circle of user also are able to recognize the evaluation result of this user.
It is pointed out that in the present embodiment, the multi-modal interaction data of class and feedback information release module are instructed in output
404 principles uploading evaluation result and process respectively with step S204 in foregoing and the content involved by step S304
Identical, no longer the contents of the section is not repeated at this.
The above, only the present invention be embodied as case, protection scope of the present invention is not limited thereto, any ripe
Know those skilled in the art in technical specification of the present invention, modifications of the present invention or replacement, all should be in the present invention
Protection domain within.
Those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general calculating
Device realizes, and they can concentrate on single calculating device, or is distributed in the network that multiple calculating device is formed
On, alternatively, they can realize with calculating the executable program code of device, it is thus possible to be stored in storage
Device is performed by calculating device, or they are fabricated to respectively each integrated circuit modules, or by many in them
Individual module or step are fabricated to single integrated circuit module and realize.So, the present invention be not restricted to any specific hardware and
Software combines.
Although the embodiment that disclosed herein is as above, but described content is only to facilitate understand the present invention and adopt
Embodiment, be not limited to the present invention.Technical staff in any the technical field of the invention, without departing from this
On the premise of spirit and scope disclosed by invention, in form and any amendment and change can be made in details implement,
But the scope of patent protection of the present invention, still must be defined in the range of standard with appending claims.
Claims (10)
1., towards an amusement exchange method for intelligent robot, comprise the following steps:
Show the multi-modal data corresponding with default Entertainment Scene；
Obtain the multi-modal with learning input of user；
Multi-modal process with learning input described, and corresponding with described default Entertainment Scene anti-according to result output
Feedforward information.
Method the most according to claim 1, it is characterised in that
When described default Entertainment Scene is dancing interaction scenarios, to described multi-modal with learn input process, specifically include:
Obtain produced by user multi-modal with learning input by vision, and by from multi-modal with learning the video data extracted in input
In action message and standard operation information comparison to pass judgment on the dance movement whether standard of user.
Method the most according to claim 1, it is characterised in that
When described default Entertainment Scene is singing interaction scenarios, to described multi-modal with learn input process, specifically include:
Gather produced by user multi-modal with learning input by audition, and by from multi-modal with learning in the voice data extracted in input
Tone/cadence information and concert pitch/cadence information comparison with pass judgment on user multi-modal with learning the whether standard of inputting.
4. according to the method according to any one of claims 1 to 3, it is characterised in that the method is further comprising the steps of:
When described result is less than established standards, output instructs the multi-modal interaction data of class to improve the corresponding amusement of user
Performance level under scene.
Method the most according to claim 1, it is characterised in that the method is further comprising the steps of:
The feedback information corresponding with described default Entertainment Scene is published in social platform.
6. towards an amusement interactive system for intelligent robot, including with lower module:
Multi-modal data output module, it is for showing the multi-modal data corresponding with presetting Entertainment Scene；
Multi-modal with learning input acquisition module, its user obtains the multi-modal with learning input of user；
Process feedback module, its for described multi-modal with learn input process, and according to result export with described
Preset the feedback information that Entertainment Scene is corresponding.
System the most according to claim 6, it is characterised in that
When described default Entertainment Scene is dancing interaction scenarios, described process feedback module specifically performs following steps: pass through
Vision obtains produced by user multi-modal with learning input, and by from multi-modal with learning in the video data extracted in input
Action message and standard operation information comparison are to pass judgment on the dance movement whether standard of user.
System the most according to claim 6, it is characterised in that
When described default Entertainment Scene is singing interaction scenarios, described process feedback module specifically performs following steps: pass through
Audition gathers produced by user multi-modal with learning input, and by from multi-modal with learning the sound in the voice data extracted in input
Tune/cadence information and concert pitch/cadence information comparison with pass judgment on user multi-modal with learning the whether standard of inputting.
9. according to the system according to any one of claim 6～8, it is characterised in that described multi-modal data output module is also
Being configured that when described result is less than established standards, output instructs the multi-modal interaction data of class to improve the corresponding of user
Performance level under Entertainment Scene.
System the most according to claim 6, it is characterised in that this system also includes with lower module:
Feedback information release module, it is for being published to social platform by the feedback information corresponding with described default Entertainment Scene
On.
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| CN107967840A (en) * | 2017-12-26 | 2018-04-27 | 泾县麦蓝网络技术服务有限公司 | A kind of child accompanies the simulated scenario demenstration method and related system of robot |
| CN108665492A (en) * | 2018-03-27 | 2018-10-16 | 北京光年无限科技有限公司 | A kind of Dancing Teaching data processing method and system based on visual human |
| CN109859324A (en) * | 2018-12-29 | 2019-06-07 | 北京光年无限科技有限公司 | A kind of motion teaching method and device based on visual human |
| WO2020151053A1 (en) * | 2019-01-25 | 2020-07-30 | 北京妙趣伙伴科技有限公司 | Robot and operating system thereof, and control apparatus, control method and storage medium |
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| CN108665492B (en) * | 2018-03-27 | 2020-09-18 | 北京光年无限科技有限公司 | Dance teaching data processing method and system based on virtual human |
| CN109859324A (en) * | 2018-12-29 | 2019-06-07 | 北京光年无限科技有限公司 | A kind of motion teaching method and device based on visual human |
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