CN107977072B

CN107977072B - Formation method for robot, formation expert system and electronic equipment

Info

Publication number: CN107977072B
Application number: CN201710632044.XA
Authority: CN
Inventors: 林莉凯; 李阳
Original assignee: Beijing Ling Technology Co ltd
Current assignee: Luka Beijing Intelligent Technology Co ltd
Priority date: 2017-07-28
Filing date: 2017-07-28
Publication date: 2021-06-08
Anticipated expiration: 2037-07-28
Also published as: CN107977072A

Abstract

The invention discloses a formation method, a formation expert system and electronic equipment for a robot, which are applied to an intelligent robot, wherein the function of the intelligent robot is divided into a plurality of detail functions in advance, and each detail function has a preset corresponding relation with user information; the method comprises the following steps: acquiring user information of a user associated with the detail function according to a preset instruction; searching a detail function corresponding to the user information according to the user information; pushing a detail function corresponding to the user information to the user, and inquiring whether the user tries to use the detail function; and if the user tries to use the detail function, guiding the user to use the detail function according to a preset guiding program. The formation method, the formation expert system and the electronic equipment for the robot can adjust the learning and the use of the intelligent robot function by the user according to the needs of the user, so that the pushing efficiency of the intelligent robot function is improved, and the use experience of the user is improved.

Description

Formation method for robot, formation expert system and electronic equipment

Technical Field

The invention relates to the technical field of intelligent robots, in particular to a formation method, a formation expert system and electronic equipment for a robot.

Background

With the rapid development of computer technology, intelligent machines, especially intelligent homes, gradually appear in the lives of people, so that the intelligent machine has an extremely obvious promoting effect on improving the life quality and efficiency of people, and a large amount of manpower and material resources are saved. In order to help the life of the user, the functions of the household robot products have to be covered widely, which relates to the aspect of life, and the functions in a single direction also relate to numerous detailed functions, so that the functions of the household robot products in the future are wide and deep, which often makes it difficult for the user who first contacts the household robot products to get into the household robot products, and even makes the user completely unaware of some very convenient use functions. Thus, the bottlenecks encountered by the home robot industry are: on one hand, if the designer wants more help, the user must design more function points, and the scene coverage of the use is predicted to be more discreet; on the other hand, the stacking of multiple functional points makes it more difficult for users to use the device in practice. As a result, in the absence of effective use guidance, not only is the user's experience with the product hindered, but the full functionality of the product cannot be exerted.

In view of the above situation, the existing development systems usually allow the user to learn and use according to a set sequence continuously according to a set program, but cannot consider the actual use environment and use requirements of the user, which not only results in that the user cannot really get familiar with the desired functions in a series of push, but also results in that the push in the set sequence has extremely low efficiency in learning and using the corresponding functions.

Therefore, in the process of implementing the invention, the inventor finds that the prior art has the following defects: the pushing of the use function of the intelligent robot is too mechanical, so that the pushing device cannot adapt to the rhythm of use and learning of the user, and is low in pushing efficiency of the functions, and the user experience is poor.

Disclosure of Invention

In view of the above, the present invention provides a formation method for a robot, a formation expert system, and an electronic device, which can adjust learning and use of a function of an intelligent robot by a user according to a user's need, so as to improve a pushing efficiency of the function of the intelligent robot and improve a user experience of the user.

The invention provides a formation method for a robot, which is applied to an intelligent robot, wherein the functions of the intelligent robot are divided into a plurality of detailed functions in advance, and each detailed function has a preset corresponding relation with user information;

the method comprises the following steps:

acquiring user information of a user associated with the detail function according to a preset instruction;

searching a detail function corresponding to the user information according to the user information;

pushing a detail function corresponding to the user information to the user, and inquiring whether the user tries to use the detail function;

and judging whether the user tries to use the detail function, if so, guiding the user to use the detail function according to a preset guiding program.

Optionally, the intelligent robot is preset with an initial state, where the initial state is a state where the intelligent robot is located within a predetermined time after the intelligent robot is triggered by a user;

the step of obtaining the user information associated with the detail function by the user according to the preset instruction further comprises the following steps:

receiving a trigger instruction of a user to enable the intelligent robot to enter an initial state;

the intelligent robot is displayed according to preset actions within preset time of an initial state, and cannot receive voice interaction instructions of a user; that is, at this time, the intelligent robot cannot accept a voice task command, but may trigger some bionic preset actions by touch, for example, some responses to the touch.

And sending a wake-up prompt to the user if the user does not send a wake-up instruction after detecting the preset time.

Optionally, the method for acquiring the user information associated with the detail function includes:

actively or passively inquiring user information associated with the detail function according to a preset instruction through conversation interaction with a user;

or detecting the use habit information of the user, and acquiring the preference information of the user according to the use habit information of the user;

or after a certain task is executed or a certain function is completed, user information of the user associated with the detail function is acquired through feedback interaction with the user.

Optionally, the step of pushing the detail function corresponding to the user information to the user further includes:

detecting whether the intelligent robot is executing a task at present, if so, not pushing the detail function, and pushing the detail function until the current task is finished; if the task is not executed currently, pushing a detail function corresponding to the user information to the user;

the step of judging whether the user attempts to use the detail function further comprises the following steps:

if the user does not attempt to use the detail function, the inquiry of the attempted use is issued again after a preset period, and the inquiry of the attempted use of the detail function is stopped until the rejection number of the user reaches a preset number.

Optionally, the step of guiding the user to use the detail function according to a preset guiding program further includes:

it is detected whether the user's use of the detail function is successful,

if yes, interaction is carried out according to a preset instruction which is successfully used;

otherwise, detecting the anchor point information achieved in the using process, and further finding out the corresponding failure reason; a plurality of anchor points are arranged in advance based on the use of each detail function, each anchor point corresponds to a possible failure reason, and if all anchor points are completed, the use is successful;

and searching a preset use suggestion corresponding to the failure reason according to the found failure reason, and pushing the use suggestion to the user, so that the user tries to use the detail function again after adjusting according to the use suggestion.

The application also provides an expert-fostered system used by the robot, which is applied to the intelligent robot, wherein the functions of the intelligent robot are divided into a plurality of detailed functions in advance, and each detailed function has a preset corresponding relation with the user information;

the formation expert system includes:

the information acquisition module is used for acquiring user information of a user associated with the detail function according to a preset instruction and sending the acquired user information to the function search module;

the function searching module is used for receiving the user information sent by the information acquisition module and searching a detail function corresponding to the user information;

the function pushing module is used for pushing the detail functions searched by the function searching module to the user and inquiring whether the user tries to use the detail functions;

the use judging module is used for judging whether the user tries to use the detail function, and if so, the guiding module is used;

and the use guiding module is used for receiving the starting instruction of the use judging module and guiding the user to use the detail function according to a preset guiding program.

the system also includes an initial state module;

the initial-state module is configured to,

the intelligent robot is displayed according to preset actions within preset time in an initial state, and cannot receive voice interaction instructions of a user, namely the intelligent robot cannot receive voice task commands at the moment, but some bionic preset actions can be triggered by touch, for example, some responses to the touch are provided. (ii) a

Optionally, the information obtaining module is further configured to,

Optionally, the function pushing module is further configured to,

the use judgment module is also used for judging whether the user needs to use the mobile phone,

Optionally, the system further comprises a revision suggestion module;

the correction suggestion module is used for detecting whether the user successfully uses the detail function,

An embodiment of the present invention further provides an electronic device, including:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above-described method.

As can be seen from the above, the formation method, the formation expert system and the electronic device for the robot provided by the invention have the advantages that by splitting the functions of the intelligent robot in advance, all the functions of the intelligent robot are split into a plurality of detailed functions, and each detailed function has a preset corresponding relationship with user information; then, when the intelligent robot is used, user information is obtained firstly, and a detail function corresponding to the user information is found according to the user information, and finally, the detail function with pertinence is pushed to the user and the user is prompted to try to use. According to the scheme, the functions are split according to the user information, and the functions of the intelligent robot are pushed according to the acquired user information, so that the user can gradually know and try to use the corresponding functions; moreover, the learning and using efficiency of the intelligent robot function by the user is higher through the targeted function pushing. In addition, the targeted function pushing can also improve the interest and entertainment of the interaction between the user and the intelligent robot, and improve the experience of the user.

Drawings

FIG. 1 is a flow chart of one embodiment of a growing method for use by a robot provided by the present invention;

FIG. 2 is a flowchart of an embodiment of initial state setting in a growing method for use with a robot according to the present invention;

FIG. 3 is a flow diagram illustrating one embodiment of determining whether to perform a task;

FIG. 4 is a flowchart of one embodiment of modifying a user usage state provided by the present invention;

FIG. 5 is a flow diagram of one embodiment of an expert development system for use with a robot provided by the present invention;

FIG. 6 is a flowchart of another embodiment of initial state setting in a growing method for use with a robot according to the present invention;

FIG. 7 is a diagram illustrating one embodiment of user information classification provided by the present invention;

FIG. 8 is a flow chart of another embodiment of a growing method used by a robot provided by the present invention;

FIG. 9 is a schematic diagram of a basic architecture for splitting functions of an intelligent robot provided by the present invention;

FIG. 10 is a detailed architecture diagram of the intelligent robot function splitting provided by the present invention;

FIG. 11 is a flowchart of another embodiment of modifying a user usage state provided by the present invention;

fig. 12 is a schematic hardware configuration diagram of an embodiment of an electronic device for executing a growing method used by a robot according to the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.

It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.

Aiming at the defect that the current robot use guiding process is too mechanized, on one hand, the functions of the intelligent robot are disassembled into detail functions in different stages for recommendation and use, so that the learning speed of a user from shallow to deep can be matched, the user can gradually know and use all the functions of the intelligent robot, and the learning and using efficiency of the user on the functions of the intelligent robot is improved; on the other hand, the corresponding relation between the user information and the detail function is established, so that the information of the user is obtained, and the detail function corresponding to the user information is correspondingly recommended, the specific function recommendation can be carried out according to the preference or the requirement contained in the user information, the recommendation based on the user information is surely more in line with the actual use requirement of the user, the interest and the entertainment of the user in the learning and using processes of different detail functions are improved, and the use experience of the user on the intelligent robot is finally improved. That is, the growing method described herein increases a user information collection process capable of evaluating a user's situation, so that a user's progress in learning and using functions of the intelligent robot can be changed according to the user's actual situation.

It should be noted that the smart robot described herein is not limited to a robot, but refers to a smart device with certain functions, and may be a home robot, a smart phone, a smart microwave oven, a smart air conditioner, and other devices.

Referring to fig. 1, there is shown a flowchart of a growing method used by a robot according to an embodiment of the present invention. The formation method used by the robot is applied to the intelligent robot, the functions of the intelligent robot are divided into a plurality of detail functions in advance, and each detail function and user information have a preset corresponding relation; the relationship between the user information and the function is set according to the needs and the function of the actual function, for example: when the user information is favorite music, the corresponding detail function is a use function related to the music; and the same user information can correspond to one or more detailed functions and can also correspond to the combined use of a plurality of detailed functions. Of course, not all user information needs to correspond to a specific function, such as: when some information cannot be associated with the function or the association is not high, the information can be set as irrelevant information, and when the irrelevant information is acquired, the function recommendation operation will not be triggered.

The growing method used by the robot comprises the following steps:

step 101, acquiring user information associated with a detail function of a user according to a preset instruction; the preset instruction refers to an instruction for acquiring user information included in the intelligent robot after the user starts the intelligent robot, and the instruction can be directly started after the intelligent robot is started or started according to the operation of the user. Since not all the user information may correspond to the functions of the intelligent robot, sometimes a large amount of acquired information needs to be filtered, and the filtering manner may be keyword filtering or filtering based on a specific mark. The standard information associated with the detail function can be stored in advance, the acquired information is compared with the standard information, the standard information with the highest similarity is selected as the equivalent information of the acquired user information, and then the corresponding detail function is searched based on the standard information.

step 1011, actively or passively inquiring user information associated with the detail function according to a preset instruction through conversation interaction with a user; the active query refers to actively sending query information to a user based on a preset instruction when the intelligent robot is started or in a process of polar dialogue interaction with the user, for example: the user is asked how to call, where, gender, age, and other basic information. Passive query refers to that in the process of dialogue interaction with a user, based on preset keywords mentioned in the interaction process, the intelligent robot starts corresponding query after detecting the keywords, for example: when the user mentions the keyword "raining" during the interaction, the intelligent robot may send "is the owner not like raining? "a category of questions, and further obtain the user's preference information or other relevant information. The method can be applied to corresponding functions such as music, news and the like with obvious preference divergence for the favorite or unpleasant styles, common habits and other information of the user.

Or, step 1012, detecting the user usage habit information, and acquiring the preference information of the user according to the user usage habit information; the usage habit of the user refers to a function frequently used by the user or a set regularity characteristic, and may be when a certain value, situation, and scene occur particularly frequently, such as a waking time, a frequently played music style, weather location information, a frequently traveled place, and the like. Here, the habit information of the user may be obtained based on the use or setting of the intelligent robot itself, or may be obtained through connection with other intelligent devices, for example, connection with an intelligent alarm clock and a light switch to obtain the time of getting up and sleeping; and the intelligent nozzle acquires a bathing habit and the like.

Alternatively, in step 1013, after a task is executed or a function is completed, user information associated with the detailed function is obtained by a feedback interaction with the user. For example: the method actively inquires whether the execution mode of the user is proper, whether the starting time and the starting duration are proper or not, and the method can be used for actively inquiring by the intelligent robot, actively feeding back by the user or enabling the intelligent robot to acquire corresponding information based on the use condition of the user.

It should be noted that the above-mentioned manner of acquiring the user information may be an individual manner, or may be a combination of multiple manners. Moreover, the intelligent robot may be obtained through its own device, or may be obtained through binding or communication connection with the other intelligent devices of the user.

Step 102, searching a detail function corresponding to the user information according to the user information; based on the preset corresponding relationship between the user information and the detailed function, a corresponding relationship list can be established for searching, and corresponding marks can be set for searching. The user information may correspond to a plurality of detailed functions at the same time, different detailed function levels may be set based on the effect of the detailed functions on the user at this time, and then the plurality of detailed functions may be sorted based on the preset levels, so that the detailed functions may be recommended in the following according to the preset order.

103, pushing a detail function corresponding to the user information to the user, and inquiring whether the user tries to use the detail function; all detail functions of the intelligent robot can be preset to be in a locking state, and only the detail functions of corresponding user information are obtained, so that the detail functions can be unlocked and pushed to the user. Therefore, the functions of the intelligent robot can be unlocked little by little according to the use pace or the user information, and the intelligent robot can grow continuously in cooperation with the actual situation of the user in an intelligent mode, namely the intelligent robot is familiar with the functions of the intelligent robot continuously. The method has the dual functions of helping the user and the intelligent robot research and development team, can assist the user in improving usability and practicability of the intelligent robot product, and can help the related research and development team to acquire information of the user in the process of using different detailed functions.

Step 104, judging whether the user tries to use the detail function, if so, executing step 105, otherwise, executing step 106;

and 105, if the user tries to use the detail function, guiding the user to use the detail function according to a preset guiding program. Wherein the bootstrap program can also contain basic introduction information of the function and instructions for simple interaction with the user. And when the guide is carried out, the user can select whether the guide is needed or not.

And step 106, if the user does not attempt to use the detail function, issuing the inquiry of attempting to use again after a preset period, and stopping the inquiry of attempting to use the detail function until the number of times of refusal of the user reaches a preset number. The preset period refers to a certain period time, such as one inquiry per day; the predetermined number of times is to set an upper limit number of times of inquiry, for example, only inquiring three times, and stopping the inquiry if the user refuses to use after three times. Of course, it is also possible to interrogate only once.

According to the embodiment, the formation method used by the robot of the application, by splitting the functions of the intelligent robot in advance, all the functions of the intelligent robot are split into a plurality of detailed functions, and each detailed function and user information have a preset corresponding relationship; then, when the intelligent robot is used, user information is obtained firstly, and a detail function corresponding to the user information is found according to the user information, and finally, the detail function with pertinence is pushed to the user and the user is prompted to try to use. According to the formation method for the robot, functions are split according to user information, and the functions of the intelligent robot are pushed according to the acquired user information, so that a user can gradually know and try to use the corresponding functions; moreover, the learning and using efficiency of the intelligent robot function by the user is higher through the targeted function pushing. In addition, the targeted function pushing can also improve the interest and entertainment of the interaction between the user and the intelligent robot, and improve the experience of the user.

Referring to fig. 2, a flowchart of an embodiment of initial state setting in a growing method used by a robot according to the present invention is shown. The intelligent robot is preset with an initial state, wherein the initial state is the state of the intelligent robot within a preset time after a user triggers the intelligent robot. That is, after the initial state is set, when the user triggers the intelligent robot unintentionally, the intelligent robot is in a state of ready start, at this time, the intelligent robot is displayed according to the preset action and cannot receive the interaction instruction of the user or use the operation instruction, and the intelligent robot can be in a standby state or a start state only when the user starts or wakes up the intelligent robot completely.

Specifically, the operation method in the initial state includes:

step 201, receiving a trigger instruction of a user to enable the intelligent robot to enter an initial state; wherein the trigger instruction can be an operation voluntarily or unintentionally by a user.

Step 202, the intelligent robot is displayed according to preset actions within preset time of an initial state, and cannot receive voice interaction instructions of a user; the preset time refers to the time that the intelligent robot is limited to be on line in the initial state, and the intelligent robot is automatically closed or quitted after the time is exceeded. The interactive instruction of the user comprises an instruction of user dialogue interaction and also comprises the operation of the user using the intelligent robot. Therefore, the problem that the intelligent robot is interfered by a user or wastes energy caused by the false start can be avoided. Optionally, the intelligent robot in the initial state may receive a touch interaction instruction of the user, that is, the intelligent robot cannot receive a task command of a voice at this time, but may trigger some bionic preset actions by touch, for example, some responses to the touch.

Step 203, sending a wake-up prompt to the user if the user does not send a wake-up instruction after detecting the preset time;

and step 204, receiving a wake-up instruction of the user, so that the user can receive a voice interaction instruction of the user. The wake-up command may be the same operation as the trigger command or different operations, for example, the trigger command may be set to touch once, and the wake-up command may be touched twice within 5 seconds, or the trigger command may be set to touch operation, and the wake-up command may be voice wake-up.

Therefore, by setting the initial state, the false opening of the intelligent robot by the user can be avoided, and the intelligent robot cannot be excessively interfered by the user even if the intelligent robot is opened unintentionally.

Referring to fig. 3, a flowchart of an embodiment of determining whether to execute a task according to the present invention is shown. The step 103 of pushing the detail function corresponding to the user information to the user further includes:

step 1031, detecting whether the intelligent robot is executing a task currently; for some intelligent robots capable of executing only a single task at the same time, only by detecting that the task is currently executed, the detailed function to be recommended cannot be tried to be used, so that the detailed function is unnecessary to be recommended at this time, for an intelligent robot capable of executing multiple tasks at the same time, whether the currently executed task interferes with the detailed function to be recommended can be detected, if so, the detailed function is also unnecessary to be recommended, and if not, the intelligent robot can be regarded as not executing the task at present, and then the detailed function is recommended.

Step 1032, if the intelligent robot is executing the task at present, not pushing the detail function until the task is completed, and then pushing the detail function; if the time for completing the task and the current time exceed the preset time range, the user information which is possibly acquired is out of date, and the detailed function does not need to be recommended at the moment.

And 1033, if the task is not executed currently, pushing the detail function corresponding to the user information to the user.

Therefore, the state of the current intelligent robot, particularly whether the task is executed or not, is judged, so that the user can receive the recommendation of the detail function under the condition that the corresponding detail function can be used, and the experience and the recommendation accuracy of the user are further improved.

Referring to fig. 4, a flowchart of an embodiment of correcting a user usage status according to the present invention is shown. The step 105 of guiding the user to use the detail function according to the preset guiding program further comprises:

step 107, detecting whether the user successfully uses the detail function; the intelligent robot control process or the process of executing the function is provided with a plurality of anchor points aiming at different nodes, and the failure process which can happen is basically corresponding to different anchor points, so that if all anchor points are detected to be completed, the function is successfully used, and if the anchor points are detected to be partially completed, the position of the last complete anchor point needs to be detected, and the corresponding reason which can happen errors is further determined. Of course, it may also be determined whether the use of the detail function is successful based on user feedback.

Step 108, if the detection result is that the use is successful, interacting according to a preset instruction of successful use; for example: encouraging the user or collecting the user's experience of usage, etc.

Step 109, if the detection result is that the use is failed, detecting the anchor point information achieved in the use process, and further finding out the corresponding failure reason;

and step 110, searching a preset use suggestion corresponding to the failure reason according to the found failure reason, and pushing the use suggestion to the user, so that the user tries to use the detail function again after adjusting according to the use suggestion. Wherein each failure usually corresponds to only one possible failure reason, and different failure reasons may correspond to the same use suggestion.

Therefore, the user can be guided to find the error reason in time through the judgment of the use result, and then the use process is corrected in time, namely, the user can be helped to get rid of the obstacle in time when encountering the use obstacle, and the use experience degree and the use success rate of the user are improved.

In some optional embodiments, the intelligent robot may be a combination or association of multiple robots, and all the robots have communication connection with each other; in this way, the detailed function can be a single use function of a single robot or a matching function of a plurality of robots used in combination, and a corresponding combined use guide program is set for the intelligent robot corresponding to the matching function in advance;

and if the user information corresponds to the matched function of the intelligent robot, guiding the user to sequentially use the corresponding intelligent robot according to a preset combined use guiding program.

In some optional embodiments, a corresponding association instruction may be further set for the function having the association with the intelligent robot in advance, and after the user uses the current function, the association instruction is started, and the function having the association with the current function is pushed to the user. Therefore, the user can be familiar with a large number of associated functions quickly by adopting an analogy mode, and the use and learning efficiency and speed of the user on the intelligent robot are improved.

In another aspect of the present application, there is also provided a formation expert system for robot use for implementing control of a robot based on a cooperative operation of a user. Referring to fig. 5, a flowchart of an embodiment of an expert formation system for use with a robot according to the present invention is shown. The method comprises the following steps that an expert formation system used by the robot is applied to the intelligent robot, the functions of the intelligent robot are divided into a plurality of detail functions in advance, and each detail function and user information have a preset corresponding relation;

the formation expert system includes:

the information acquisition module 302 is configured to acquire user information of a user associated with a detail function according to a preset instruction, and send the acquired user information to the function search module;

a function searching module 303, configured to receive the user information sent by the information obtaining module 302, and search a detail function corresponding to the user information;

a function pushing module 304, configured to push the detail function found by the function finding module 303 to the user, and ask the user whether to attempt to use the detail function;

a use judgment module 305, configured to judge whether the user attempts to use the detail function, and if so, use a guidance module 306;

and a use guiding module 306, configured to receive a start instruction of the use determining module 305, and guide a user to use the detail function according to a preset guiding program.

According to the embodiment, the formation expert system used by the robot splits the functions of the intelligent robot in advance, so that all the functions of the intelligent robot are split into a plurality of detail functions, and each detail function and user information have a preset corresponding relationship; then, when the intelligent robot is used, the information acquisition module 302 acquires user information, the function search module 303 searches for a detail function corresponding to the user information according to the user information, and finally, the function push module 304 pushes the detail function with pertinence to the user and prompts the user to attempt to use the function. According to the scheme, the functions are split according to the user information, and the functions of the intelligent robot are pushed according to the acquired user information, so that the user can gradually know and try to use the corresponding functions; moreover, the learning and using efficiency of the intelligent robot function by the user is higher through the targeted function pushing. In addition, the targeted function pushing can also improve the interest and entertainment of the interaction between the user and the intelligent robot, and improve the experience of the user.

In some optional embodiments of the present application, the intelligent robot is preset with an initial state, where the initial state is a state where the intelligent robot is located within a predetermined time after the intelligent robot is triggered by a user;

the system further comprises an initial state module 301;

the initial state module 301 is configured to,

Therefore, by designing a temporary activated initial state, even if a user starts the intelligent robot by accident, excessive interference on the user is avoided, meanwhile, the initial state can capture approaching or intentional and unintentional starting operation of the user in time, and further attract the user through a preset display action, so that the user can pay attention to the intelligent robot in time, and further learning and use of the user on the intelligent robot are promoted.

In some optional embodiments of the present application, the information obtaining module 302 is further configured to,

Therefore, by adopting different means for acquiring the user information, the interaction process between the user and the intelligent robot can be enriched, and the user information which is as accurate and reliable as possible can be acquired.

In some alternative embodiments of the present application, the function pushing module 304 is further configured to,

the usage determination module 305 is also configured to,

By detecting whether the task is being executed, whether the pushing of the detail function is available or not can be determined, so that the user can try to use the recommended function in time; and the interference to the current task can be avoided, and the running stability of the intelligent robot is improved.

In some optional embodiments of the present application, the system further comprises a revision suggestion module 307;

the rework suggestion module 307 is used to detect whether the user's use of the detail function was successful,

Through detecting the use result and giving suggestions in time when the user fails to use, the user can correct wrong operation in time, and the learning and using effects of the pushed detail function are enhanced.

Referring to fig. 6, there is shown a flowchart of another embodiment of initial state setting in the incubation method for the robot provided by the present invention. That is, the user can enter the initial state through touch triggering, and after the user enters the initial state, the intelligent robot cannot receive the user or the task assigned by the user, that is, cannot receive the control instruction of the user or perform interactive dialogue; however, in the initial state, the intelligent robot is preset with certain performance actions, such as: the unilateral interactive actions such as waving hands, spreading lovers, swinging and the like are used for attracting the attention of users and increasing the entertainment effect. Similarly, the intelligent robot cannot be made to know that the intelligent robot is in the initial state, which is very energy-consuming, and therefore a predetermined time needs to be set, and when the predetermined time is exceeded, for example, 1 minute, if it is detected that the user still does not issue a wake-up or start-up instruction, the user may be prompted to perform a wake-up operation to leave the initial state, or the initial state may be directly exited. Therefore, on one hand, the intelligent robot can be prevented from directly entering a general starting state due to triggering caused by misoperation of a user, so that the intelligent robot after starting causes great interference to the user, and on the other hand, the entertainment and the interestingness of interactive starting with the user can be improved. And once the intelligent robot enters a general state, namely a normal starting state, the intelligent robot can receive a corresponding task assignment instruction or perform corresponding interactive operation. The triggering mode for the general state may be either tactile triggering or voice triggering. Of course, it is also possible to introduce the intelligent robot itself or the corresponding function itself before receiving the instruction or simply ask the user for some basic materials or the like for initial operation. Therefore, the intelligent robot cannot actively introduce or speak before the initial state, but receives the triggering of actions such as clapping and the like to display corresponding postures or emotional voice expressions, so that a user is familiar with the intelligent robot through basic touch, and is actively guided to wake up the robot by using keywords after a certain time, and the user can self-introduce and inquire basic information of the user.

Referring to fig. 7, a schematic diagram of an embodiment of user information classification provided by the present invention is shown. As can be seen from the figure, the user information corresponding to the detail function may be classified according to the actual function requirement, and the manner of acquiring the information may also be set as required, for example, by interacting with the user or by networking with other devices. Therefore, each acquired data or information has functions corresponding to the intelligent robot, the functions have the help of the data, the service more fitting the habit of the user can be provided for the user, and the service quality or the use quality of the intelligent robot is improved.

Referring to fig. 8, there is shown a flowchart of another embodiment of a growing method used by a robot according to the present invention. The growing method used by the robot comprises the following steps: firstly, obtaining user information, and then preparing to push a function corresponding to the information to a user; before pushing, whether a task is currently executed needs to be detected, if yes, the pushed function cannot be tried to use, and therefore the function is not pushed at the moment; if the task is not executed currently, the function is pushed, at this time, a user needs to be asked whether to attempt unlocking and use a new function, if the user selects to use the function, a use guiding state is entered, if the user selects not to use, the user is asked whether to attempt to use again after more than 6 hours, the user is instructed to select not to use twice, and the user is stopped being prompted to use the newly unlocked function. Optionally, even if the user does not attempt to use the detail function, the user information is obtained to indicate that the detail function is unlocked, and the user may directly use the detail function in a subsequent process.

Fig. 9 is a schematic diagram of a basic architecture for splitting functions of an intelligent robot provided by the present invention. That is, when the function of the intelligent robot needs to be split, the function can be divided into a passive function and an active function according to the characteristics of the function, and at the initial stage of use, the user can only unlock the passive function, that is, the intelligent robot intelligently receives a corresponding task instruction and displays a corresponding performance action, and only after enough user data is accumulated, the active function can be started, that is, the intelligent robot can actively initiate a task according to the information such as the habit or preference of the user. Especially has better auxiliary effect for some disabled and handicapped people.

Fig. 10 is a detailed architecture diagram illustrating the function splitting of the intelligent robot according to the present invention. The intelligent robot is divided into different detailed functions according to different use depths, the music playing function is taken as an example, the most basic function is the startup and shutdown function, and further the music playing function specified by a player belongs to the function of intelligently and passively receiving user operation and then realizing the function. And a further layer is provided, the function of showing individuality can be realized, for example, the music can be matched to jump a song, the passive function is also realized, certain intelligence is realized, and the music and the song can be reasonably matched. Finally, an active recommendation function can be provided, for example, music that a user may like can be actively recommended according to information such as user preference or playing habits, and even corresponding music can be directly played in a specific environment, for example, after long-time learning, even if the user does not click to play every time the user sleeps, the user can actively play the soporific music when the user starts sleeping.

Referring to fig. 11, a flowchart of another embodiment of correcting the user usage status according to the present invention is shown. That is, after the user uses the corresponding detail function, whether the user successfully uses the detail function is judged, if so, the use is completed, if not, which anchor point passes through needs to be detected, and then the reason of the failure is found, and a corresponding improvement suggestion is proposed according to the reason of the failure, so that the user can find the error operation in time and correctly use the detail function of the pushing.

As can be appreciated from any one or more of the embodiments described above, the present application incorporates a guidance system and a machine learning system; the guiding system enables a user to know the robot, the machine learning system enables the robot to know the user, the two systems run in parallel with reasonable logic and mutually benefit and generate more advanced human-computer interaction experience, and the experience of jointly growing with the user is more focused on.

In view of the above object, in another aspect of the embodiments of the present invention, an embodiment of an electronic device for performing a growing method used by the robot is provided.

The electronic device that executes the growing method used by the robot includes:

at least one processor; and the number of the first and second groups,

the memory stores instructions executable by the at least one processor to cause the at least one processor to perform any one of the methods described above.

Fig. 12 is a schematic diagram of a hardware structure of an embodiment of an electronic device for executing the formation method used by the robot according to the present invention.

Taking the electronic device shown in fig. 12 as an example, the electronic device includes a processor 401 and a memory 402, and may further include: an input device 403 and an output device 404.

The processor 401, the memory 402, the input device 403 and the output device 404 may be connected by a bus or other means, and the bus connection is exemplified in fig. 12.

The memory 402, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the formation methods used by the robot in the embodiments of the present application. The processor 401 executes various functional applications of the server and data processing, that is, a development method used by the robot, which implements the above-described method embodiments, by executing the nonvolatile software program, instructions, and modules stored in the memory 402.

The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of an expert system for development of robot use, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 402 may optionally include memory located remotely from the processor 401, which may be connected to a health expert system for use by the robot over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 403 may receive input numeric or character information and generate key signal inputs related to user settings and function control of an expert system used by the robot. The output device 404 may include a display device such as a display screen.

The one or more modules are stored in the memory 402 and when executed by the processor 401 perform a growing method for use by a robot in any of the method embodiments described above.

Any embodiment of the electronic device for executing the curing method used by the robot can achieve the same or similar effects as any corresponding method embodiment.

Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.

In addition, well known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures for simplicity of illustration and discussion, and so as not to obscure the invention. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present invention is to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.

While the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.

The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims

1. The formation method for the robot is characterized by being applied to an intelligent robot, wherein the functions of the intelligent robot are divided into a plurality of detail functions in advance, and each detail function has a preset corresponding relation with user information;

the method comprises the following steps:

judging whether the user tries to use the detail function, if so, guiding the user to use the detail function according to a preset guiding program;

the step of guiding the user to use the detail function according to the preset guiding program further comprises the following steps:

it is detected whether the user's use of the detail function is successful,

2. The growing method for the robot according to claim 1, wherein the intelligent robot is preset with an initial state, and the initial state is a state that the intelligent robot is in within a predetermined time after the intelligent robot is triggered by a user;

the intelligent robot is displayed according to preset actions within preset time of an initial state, and cannot receive voice interaction instructions of a user;

3. A growing method for use by a robot according to claim 1, wherein the method of obtaining user information associated with a detailed function by a user comprises:

4. A growing method for use by a robot according to claim 1, wherein the step of pushing detail functions corresponding to user information to a user further comprises:

5. An expert system for formation of robot use is characterized in that the expert system is applied to an intelligent robot, the functions of the intelligent robot are divided into a plurality of detail functions in advance, and each detail function and user information have a preset corresponding relationship;

the formation expert system includes:

the use guiding module is used for receiving the starting instruction of the use judging module and guiding the user to use the detail function according to a preset guiding program;

the system further comprises a revision suggestion module;

6. The formative expert system for robot use according to claim 5, wherein the intelligent robot is preset with an initial state, the initial state is a state that the intelligent robot is in within a predetermined time after a user triggers the intelligent robot;

the system also includes an initial state module;

the initial-state module is configured to,

7. A formative expert system for use with a robot as recited in claim 5, wherein the information acquisition module is further configured to,

8. A formative expert system for use with a robot as claimed in claim 5, wherein the functionality push module is further configured to,

9. An electronic device, comprising:

at least one processor; and the number of the first and second groups,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.