CN106774832A - A kind of man-machine interaction method and device for intelligent robot - Google Patents

A kind of man-machine interaction method and device for intelligent robot Download PDF

Info

Publication number
CN106774832A
CN106774832A CN201611029816.2A CN201611029816A CN106774832A CN 106774832 A CN106774832 A CN 106774832A CN 201611029816 A CN201611029816 A CN 201611029816A CN 106774832 A CN106774832 A CN 106774832A
Authority
CN
China
Prior art keywords
data
memory
interaction
information
term
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
CN201611029816.2A
Other languages
Chinese (zh)
Inventor
栗安
韦克礼
邱模武
杨中伦
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.)
Beijing Guangnian Wuxian Technology Co Ltd
Original Assignee
Beijing Guangnian Wuxian Technology 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 Beijing Guangnian Wuxian Technology Co Ltd filed Critical Beijing Guangnian Wuxian Technology Co Ltd
Priority to CN201611029816.2A priority Critical patent/CN106774832A/en
Publication of CN106774832A publication Critical patent/CN106774832A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Human Computer Interaction (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Manipulator (AREA)

Abstract

A kind of man-machine interaction method and device for intelligent robot, this includes:Interactive information obtaining step, obtains the multi-modal interactive information on user;Data storing steps, parse to multi-modal interactive information, obtain interaction data, according to the data type of interaction data, interaction data is divided into needs short-term preservation or the long-term data for preserving, and correspondence to store in first memory or second memory, forms data memory;Feedback of the information step, when externally interaction is needed, according to the data memory that first memory and/or second memory are stored, generates and exports corresponding feedback information.This method will process the interaction data for obtaining and be divided into the data for needing short-term storage and the data for needing longer-term storage, and both data are respectively stored into different memories to form the short-term memory data and long-term memory data of intelligent robot, it enables to interact more reasonable and hommization between intelligent robot and user.

Description

A kind of man-machine interaction method and device for intelligent robot
Technical field
The present invention relates to robotics, specifically, it is related to a kind of man-machine interaction side for intelligent robot Method and device.
Background technology
With continuing to develop for science and technology, the introducing of information technology, computer technology and artificial intelligence technology, machine Industrial circle is progressively walked out in the research of people, gradually extend to the neck such as medical treatment, health care, family, amusement and service industry Domain.And people for the requirement of robot also conform to the principle of simplicity the multiple mechanical action of substance be promoted to anthropomorphic question and answer, independence and with The intelligent robot that other robot is interacted, man-machine interaction also just turns into the key factor for determining intelligent robot development.
The content of the invention
To solve the above problems, the invention provides a kind of man-machine interaction method for intelligent robot, it includes:
Interactive information obtaining step, obtains the multi-modal interactive information on user;
Data storing steps, parse to the multi-modal interactive information, obtain interaction data, according to the interactive number According to data type, the interaction data is divided into needs short-term preservation or the long-term data for preserving, and correspondence storage is to the In one memory or second memory, data memory is formed;
Feedback of the information step, when externally interaction is needed, is stored according to the first memory and/or second memory Data memory, generate and export corresponding feedback information.
According to one embodiment of present invention, in the data storing steps, the number that the first memory is stored Ceased to be in force automatically according to after storage duration reaches the first preset duration.
According to one embodiment of present invention, methods described also includes:
Data update step, and Associated Memory of the storage in the second memory is judged according to the interactive information for getting Whether data are correct, if incorrect, Associated Memory data are updated.
According to one embodiment of present invention, in described information feedback step, by retrieve the first memory and/ Or second memory, generate the feedback information.
According to one embodiment of present invention, in described information feedback step,
Interaction scenarios information according to getting judges whether that needs carry out actively interaction, if it is desired, then judge to need Externally interaction;And/or,
According to the dialog information of the user input for getting, judge whether to need external interaction.
Present invention also offers a kind of human-computer interaction device for intelligent robot, it includes:
Interactive information acquisition module, it is used to obtain the multi-modal interactive information on user;
Data memory module, it is used to parse the multi-modal interactive information, interaction data is obtained, according to described The data type of interaction data, the interaction data is divided into needs short-term preservation or the long-term data for preserving, and correspondence to deposit Store up in first memory or second memory, form data memory;
Information feedback module, it is used for when externally interaction is needed, according to the first memory and/or second memory The data memory for being stored, generates and exports corresponding feedback information.
According to one embodiment of present invention, it is pre- that the data that the first memory is stored reach first in storage duration If being ceased to be in force automatically after duration.
According to one embodiment of present invention, described device also includes:
Data update module, it is used to judge phase of the storage in the second memory according to the interactive information for getting Whether correct close data memory, if incorrect, Associated Memory data are updated.
According to one embodiment of present invention, described information feedback module is configured to pass the retrieval first memory And/or second memory, generate the feedback information.
According to one embodiment of present invention, described information feedback module is configured to:
Interaction scenarios information according to getting judges whether that needs carry out actively interaction, if it is desired, then judge to need Externally interaction;And/or,
According to the dialog information of the user input for getting, judge whether to need external interaction.
Other features and advantages of the present invention will be illustrated in the following description, also, the partly change from specification Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by specification, rights Specifically noted structure is realized and obtained in claim and accompanying drawing.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the accompanying drawing wanted needed for technology description to do simple introduction:
Fig. 1 be the man-machine interaction method for intelligent robot according to an embodiment of the invention realize flow illustrate Figure;
Fig. 2 is that the man-machine interaction method for intelligent robot in accordance with another embodiment of the present invention realizes that flow is shown It is intended to;
Fig. 3 is the structural representation of the human-computer interaction device for intelligent robot according to an embodiment of the invention.
Specific embodiment
Describe embodiments of the present invention in detail below with reference to drawings and Examples, how the present invention is applied whereby Technological means solves technical problem, and reaches the implementation process of technique effect and can fully understand and implement according to this.Need explanation As long as not constituting conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other, The technical scheme for being formed is within protection scope of the present invention.
Meanwhile, in the following description, many details are elaborated for illustrative purposes, to provide to of the invention real Apply the thorough understanding of example.It will be apparent, however, to one skilled in the art, that the present invention can be without tool here Body details or described ad hoc fashion are implemented.
In addition, can be in the such as one group department of computer science of computer executable instructions the step of the flow of accompanying drawing is illustrated Performed in system, and, although logical order is shown in flow charts, but in some cases, can be with different from herein Order perform shown or described step.
Embodiment one:
What Fig. 1 showed the man-machine interaction method that the present embodiment is provided realizes schematic flow sheet.
As shown in figure 1, the method that the present embodiment is provided obtains the multi-modal friendship on user in step S101 first Mutual information.It is pointed out that above-mentioned multi-modal interactive information can be such as voice messaging, text message, limbs information, dynamic Make a certain item or a few items in the information such as information and visual information (i.e. image information), the invention is not restricted to this.
Wherein, the method can be configured by intelligent robot audio sensor (such as microphone) obtains user The voice messaging of input, the text input device that can be configured by intelligent robot (such as keyboard) obtains user input Text message, the video sensor that can be configured by intelligent robot (such as camera) obtains regarding for user input Feel information and/or limbs information, can be by configuring respective sensor (such as pressure biography in intelligent robot housing or inside Sensor etc.) carry out the action message of user's user input.
After above-mentioned multi-modal interactive information is obtained, the method can be carried out to the multi-modal interactive information in step s 102 Parsing, so as to obtain interaction data.For the multi-modal interactive information of user input, intelligent robot generally cannot be direct Valid data are obtained out from these interactive information, therefore is also accomplished by carrying out dissection process to these interactive information, to give birth to Into the interaction data for being easy to intelligent robot to process and use.
For example, user have input the interactive voice information of such as " I celebrates a birthday today, very happy " to intelligent robot, The method is processed and parsed by above-mentioned interactive voice information in step s 102, can obtain " user's birthday " and The interaction data of " user's current mood ".
Again for example, the method gets what user was laughing by the image capture device that intelligent robot itself is configured Image interaction information, these image interaction informations cannot directly be used or utilized for intelligent robot, therefore should Method is processed and parsed by above-mentioned image interaction information in step s 102, can be obtained " user mood-happiness " Interaction data.
As shown in figure 1, the method can in step s 103 according to the data class of interaction data resulting in step S102 Type, above-mentioned interaction data is divided into needs short-term preservation or the long-term data for preserving., it is necessary to short-term preservation in the present embodiment Referring to change frequency data than data faster, its preferably main data including associated user's emotion more.And need long-term guarantor Referring to change frequency slow data the data deposited, it preferably mainly includes user's representation data and/or knowledge class data more Deng.Wherein, user's representation data can be the data such as name, birthday and the family status of user.
The mood of people generally can't continue the long time, and such as one people is currently at happiness state, and previous hour It is likely in sad or even-tempered and good-humoured state, therefore for this method, needs is belonging to the mood of people more The data of short-term preservation.
And the name of user, birthday are changeless, the family status of user (such as kinsfolk constitute etc.) is generally Can't be changed within a very long time, therefore these information apparently pertain to need the data of long-term preservation.And such as Knowledge class data such as " height in Mountain Everest " or " in the world area maximum country " be also it is changeless or Will not be changed in a very long time, therefore this kind of data fall within the data for needing long-term preservation in the present embodiment.
However, in other embodiments of the invention, according to actual needs, it is necessary to what short-term preservation and needs were preserved for a long time Data can also respectively include other reasonable datas, the invention is not restricted to this.
Determine interaction data be need short-term preservation data need for the data of long-term preservation after, the method meeting The data of short-term preservation will be needed in step S104 and needs the long-term data for preserving to correspond to storage respectively in first memory In second memory, so as to form data memory.That is, first memory is used to store needs the data of short-term preservation (i.e. short Phase data memory), and second memory is then used to store the data (i.e. long-term memory data) for needing long-term preservation.
It is pointed out that specific implementation of the present invention not to first memory and second memory is limited It is fixed.In different embodiments of the invention, first memory and second memory can both use different types of storage circuit Or storage device is realized, it would however also be possible to employ same type of storage circuit or storage device are realized, can also used same The different memory spaces of storage circuit are realized, the invention is not restricted to this.
The situation that the memory system of intelligent robot is covered is than wide.By taking short-term memory as an example, in the present embodiment, this When the scene information residing for user is resolved to, it is deposited this partial information as the data of short-term storage are needed to method Storage.Meanwhile, if being resolved to user expresses of short duration Sentiment orientation, the method also can be short-term as needing using the partial information The data of storage are stored.
As shown in figure 1, when externally interaction is needed, the method can be in step S105 according to first memory and/or the The data memory that two memories are stored, generates corresponding feedback information and exports.Specifically, in the present embodiment, the method exists Preferably above-mentioned feedback information is generated in step S105 by being retrieved to first memory and/or second memory.When So, in other embodiments of the invention, the method can also be by other rational methods come based on first in step S105 The data memory that memory and/or second memory are stored generates feedback information and exports, the invention is not restricted to this.
It is pointed out that in the present embodiment, the method is generated in step S105 and the feedback information that exports can be with Presented in the form of various reasonable, the invention is not restricted to this.For example, in one embodiment of the invention, the method Feedback information generated in step S105 can be voice messaging, or image information, can also be limb action Information, or it is the combination of the information of various multi-forms.
For example, this method is resolved to user had lunch, and deposited the partial information as short-term memory data Storage is in respective memory.As user's complaint " good starve ", the method just can to obtain user firm by retrieving relational storage Lunch this short-term memory data were just had, according to the data, the method can be generated and exported such as " after lunch just, It is be just hungry now, really individual good-for-nothing " voice messaging.
However, for the data (i.e. short-term memory data) for needing to carry out short-term preservation, due to its change frequency compared with Height, and be likely to be mismatched with actual interaction scenarios if long-time uses the data.User is to intelligence before one hour Robot have input the interactive voice of ", good starve ", and user is in starvation as short-term memory by intelligent robot Data are stored, and recommend neighbouring dining room to user., just after the meal, above-mentioned short-term memory data are obviously for user Current state with user is mismatched.
For the situation, in the present embodiment, it is preferable that the data (i.e. short-term memory data) that first memory is stored exist Can be ceased to be in force automatically after reaching the first preset duration.In different embodiments of the invention, according to actual needs, above-mentioned first presets Duration is configurable to different reasonable values.For example, in one embodiment of the invention, above-mentioned first preset duration can match somebody with somebody Some values in being set to 5~30 minutes etc..
For the data (i.e. long-term memory data) that needs carry out long-term preservation, it can't fail with the time.So And, the long-term memory data stored in relational storage are likely to mistake, therefore this method can also include data more New step.In data update step, the method can judge storage in relational storage according to accessed interactive information Whether the related long-term memory data in (such as second memory) are correct.If this part long-term memory data is incorrect, This part long-term memory data is updated.
For example, the method will " X user's birthday:On September 9th, 2010 " is stored as long-term memory data, then September 9th is within 2016, and the method will also say that " happy birthday in 6 years old for small owner to user!", if user answers " my birthday It is September 8, you remember wrongly ", then now the method is also it may determine that go out this part long-term memory data for being stored before this And it is incorrect, therefore this partial data will be now updated, so as to user be changed to " on September 8th, 2010 " birthday.
Embodiment two:
Fig. 2 show the man-machine interaction method for intelligent robot that the present embodiment is provided realize flow illustrate Figure.
As shown in Fig. 2 the method that the present embodiment is provided obtains the multi-modal friendship on user in step s 201 first Mutual information, and the multi-modal interactive information is parsed in step S202, so as to obtain interaction data.
After interaction data is obtained by being parsed to multi-modal interactive information, the method basis in step S203 The data type of interaction data, interaction data is divided into the data for needing short-term preservation or the data for needing long-term preservation.With Afterwards, during the method can be stored to corresponding memory above-mentioned interaction data in step S204, so as to form data memory.Its In, it is preferable that in the present embodiment, the method will need the interaction data for carrying out short-term storage to store first in step S204 In memory, it would be desirable to which the interaction data for carrying out longer-term storage is stored in second memory.
It is pointed out that in the present embodiment, above-mentioned steps S201's to step S204 implements principle and realization Process is similar with the content involved by step S101 to step S104 in above-described embodiment one, therefore herein no longer to step S201 extremely The content of step S204 is repeated.
As shown in Fig. 2 during daily interaction, the method can be in step S205 according to the interaction scenarios letter for getting Breath judges whether that needs are externally interacted.Externally interacted if desired, party's rule can retrieve in step S207 One memory and/or second memory, so as to generate corresponding feedback information and export according to the content for being retrieved.
For example, comprising such as " 3 Dian Jin guilds view is reminded " in the short-term memory data that are stored of the method, then if inspection Measure currently to 3 points, the method can be generated and exported such as " to 3 by retrieving above-mentioned short-term memory data The prompting message of point, it should which meeting goes ".
Certainly, in other embodiments of the invention, the method in step S205 also with use other reasonable manners To judge whether that needs are externally interacted, the invention is not restricted to this.For example, in one embodiment of the invention, the method Can also judge whether needs according to the dialog information of user input in step S205 externally to be interacted.
As can be seen that the man-machine interaction method for intelligent robot provided by the present invention will be processed from foregoing description The interaction data for obtaining is divided into the data for needing short-term storage and the data for needing longer-term storage, and by both interaction datas It is respectively stored into different memories to form the short-term memory data and long-term memory data of intelligent robot respectively.Pass through This mode, this method enables to interact more reasonable and hommization between intelligent robot and user.
Simultaneously as short-term memory data can cease to be in force automatically after certain time length is reached, this is also avoided due to machine People's longer-term storage change frequency is that interactive process is interfered than larger data, and then causes intelligent robot The feedback information of output error, this also contributes to improve the intelligent level of intelligent robot.
Present invention also offers a kind of human-computer interaction device for intelligent robot, Fig. 3 should in showing the present embodiment The structural representation of device.
As shown in figure 3, the human-computer interaction device that the present embodiment is provided is preferably included:Interactive information acquisition module 301, Data memory module 302 and information feedback module 303.Wherein, interactive information acquisition module 301 is used to obtain on user's Multi-modal interactive information.
It is pointed out that above-mentioned multi-modal interactive information can be such as voice messaging, text message, limbs information, A certain item or a few items in the information such as action message and visual information (i.e. image information), the invention is not restricted to this.It is right therewith Ying Di, interactive information acquisition module 301 can be respectively adopted corresponding voice capture device (such as microphone), text collection and set Standby (such as keyboard), action message collecting device (pressure sensor that such as intelligent robot is configured etc.) and IMAQ set Voice messaging, text message, limbs information, action message and visual information are gathered respectively for (such as camera).
After multi-modal interactive information is got, interactive information acquisition module 301 can pass above-mentioned multi-modal interactive information Transport to data memory module 302.In the present embodiment, data memory module 302 can be carried out to the multi-modal interactive information for receiving Parsing, so as to obtain interaction data.After interaction data is obtained, data memory module 302 can also be according to the number of the interaction data According to type, interaction data is divided into the data that need short-term preservation or the long-term data for preserving are needed, and by these data pair Should store in first memory or second memory, so also be formed data memory.
Need externally interaction when, information feedback module 303 can according to first memory in data memory module 302 and/ Or the second memory data memory that is stored is generated and exports corresponding feedback information.
It is pointed out that in the present embodiment, data memory module 302 and information feedback module 303 realize respective function Implement and walk in principle and implementation process and step S102 to step S105 in above-described embodiment one and embodiment two Content involved by rapid S202 to step S206 is similar to, therefore herein no longer to data memory module 302 and information feedback module 303 Related content repeated.
As mentioned in foregoing teachings, for needing the data (i.e. short-term memory data) for carrying out short-term preservation Say, because its change frequency is higher, and be likely to be mismatched with actual interaction scenarios if long-time uses the data.Cause This, storage short-term memory data in the first memory can cease to be in force automatically after the first preset duration is reached.And in the present invention Different embodiments in, according to actual needs, above-mentioned first preset duration is configurable to different reasonable values.
As shown in figure 3, the man-machine interactive system that the present embodiment is provided also includes data update module 304, it is used for root Judge whether Associated Memory data of the storage in second memory are correct according to the interactive information for getting, if incorrect, Associated Memory data are updated.
It should be understood that disclosed embodiment of this invention is not limited to ad hoc structure disclosed herein or treatment step Suddenly, the equivalent substitute of these features that those of ordinary skill in the related art are understood should be extended to.It should also be understood that It is that term as used herein is only used for describing the purpose of specific embodiment, and is not intended to limit.
" one embodiment " or " embodiment " mentioned in specification means special characteristic, the structure for describing in conjunction with the embodiments Or characteristic is included at least one embodiment of the present invention.Therefore, the phrase " reality that specification various places throughout occurs Apply example " or " embodiment " same embodiment might not be referred both to.
Although above-mentioned example is used to illustrate principle of the present invention in one or more applications, for the technology of this area For personnel, in the case of without departing substantially from principle of the invention and thought, hence it is evident that can in form, the details of usage and implementation It is upper various modifications may be made and without paying creative work.Therefore, the present invention is defined by the appended claims.

Claims (10)

1. a kind of man-machine interaction method for intelligent robot, it is characterised in that including:
Interactive information obtaining step, obtains the multi-modal interactive information on user;
Data storing steps, parse to the multi-modal interactive information, interaction data are obtained, according to the interaction data Data type, the interaction data is divided into needs short-term preservation or the long-term data for preserving, and correspondence storage to be deposited to first In reservoir or second memory, data memory is formed;
Feedback of the information step, when externally interaction is needed, according to the note that the first memory and/or second memory are stored Recall data, generate and export corresponding feedback information.
2. the method for claim 1, it is characterised in that in the data storing steps, the first memory institute The data of storage cease to be in force automatically after storage duration reaches the first preset duration.
3. method as claimed in claim 2, it is characterised in that methods described also includes:
Data update step, and Associated Memory data of the storage in the second memory are judged according to the interactive information for getting It is whether correct, if incorrect, Associated Memory data are updated.
4. the method as any one of claims 1 to 3, it is characterised in that in described information feedback step, by inspection Suo Suoshu first memories and/or second memory, generate the feedback information.
5. the method as any one of right 1~4, it is characterised in that in described information feedback step,
Interaction scenarios information according to getting judges whether that needs carry out actively interaction, if it is desired, then judge to need externally Interaction;And/or,
According to the dialog information of the user input for getting, judge whether to need external interaction.
6. a kind of human-computer interaction device for intelligent robot, it is characterised in that including:
Interactive information acquisition module, it is used to obtain the multi-modal interactive information on user;
Data memory module, it is used to parse the multi-modal interactive information, interaction data is obtained, according to the interaction The data type of data, the interaction data is divided into needs short-term preservation or the long-term data for preserving, and correspondence storage to arrive In first memory or second memory, data memory is formed;
Information feedback module, it is used to, when externally interaction is needed, be deposited according to the first memory and/or second memory The data memory of storage, generates and exports corresponding feedback information.
7. device as claimed in claim 6, it is characterised in that the data that the first memory is stored are up in storage Ceased to be in force automatically after to the first preset duration.
8. device as claimed in claim 7, it is characterised in that described device also includes:
Data update module, it is used to judge related note of the storage in the second memory according to the interactive information for getting Whether correct recall data, if incorrect, Associated Memory data are updated.
9. the device as any one of claim 6~8, it is characterised in that described information feedback module is configured to pass The first memory and/or second memory are retrieved, the feedback information is generated.
10. the device as any one of right 6~9, it is characterised in that described information feedback module is configured to:
Interaction scenarios information according to getting judges whether that needs carry out actively interaction, if it is desired, then judge to need externally Interaction;And/or,
According to the dialog information of the user input for getting, judge whether to need external interaction.
CN201611029816.2A 2016-11-15 2016-11-15 A kind of man-machine interaction method and device for intelligent robot Pending CN106774832A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611029816.2A CN106774832A (en) 2016-11-15 2016-11-15 A kind of man-machine interaction method and device for intelligent robot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611029816.2A CN106774832A (en) 2016-11-15 2016-11-15 A kind of man-machine interaction method and device for intelligent robot

Publications (1)

Publication Number Publication Date
CN106774832A true CN106774832A (en) 2017-05-31

Family

ID=58970377

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611029816.2A Pending CN106774832A (en) 2016-11-15 2016-11-15 A kind of man-machine interaction method and device for intelligent robot

Country Status (1)

Country Link
CN (1) CN106774832A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108363395A (en) * 2018-02-11 2018-08-03 智久(厦门)机器人科技有限公司 A kind of method of AGV automatic obstacle avoidings
CN109202921A (en) * 2017-07-03 2019-01-15 北京光年无限科技有限公司 The man-machine interaction method and device based on Forgetting Mechanism for robot
CN112559834A (en) * 2020-12-21 2021-03-26 浙江合张量科技有限公司 Multi-mode output method for intelligent robot system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1553845A (en) * 2001-11-07 2004-12-08 索尼公司 Robot system and robot apparatus control method
US20150046018A1 (en) * 2013-08-09 2015-02-12 Toyota Jidosha Kabushiki Kaisha Autonomous moving body, obstacle sensing method, and obstacle avoiding method
CN104461226A (en) * 2013-09-23 2015-03-25 北京三星通信技术研究有限公司 Chatting method, device and system used for network
CN105798918A (en) * 2016-04-29 2016-07-27 北京光年无限科技有限公司 Interactive method and device for intelligent robot
CN105824935A (en) * 2016-03-18 2016-08-03 北京光年无限科技有限公司 Method and system for information processing for question and answer robot
CN105843382A (en) * 2016-03-18 2016-08-10 北京光年无限科技有限公司 Man-machine interaction method and device
CN105945949A (en) * 2016-06-01 2016-09-21 北京光年无限科技有限公司 Information processing method and system for intelligent robot
CN106095833A (en) * 2016-06-01 2016-11-09 竹间智能科技(上海)有限公司 Human computer conversation's content processing method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1553845A (en) * 2001-11-07 2004-12-08 索尼公司 Robot system and robot apparatus control method
US20150046018A1 (en) * 2013-08-09 2015-02-12 Toyota Jidosha Kabushiki Kaisha Autonomous moving body, obstacle sensing method, and obstacle avoiding method
CN104461226A (en) * 2013-09-23 2015-03-25 北京三星通信技术研究有限公司 Chatting method, device and system used for network
CN105824935A (en) * 2016-03-18 2016-08-03 北京光年无限科技有限公司 Method and system for information processing for question and answer robot
CN105843382A (en) * 2016-03-18 2016-08-10 北京光年无限科技有限公司 Man-machine interaction method and device
CN105798918A (en) * 2016-04-29 2016-07-27 北京光年无限科技有限公司 Interactive method and device for intelligent robot
CN105945949A (en) * 2016-06-01 2016-09-21 北京光年无限科技有限公司 Information processing method and system for intelligent robot
CN106095833A (en) * 2016-06-01 2016-11-09 竹间智能科技(上海)有限公司 Human computer conversation's content processing method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109202921A (en) * 2017-07-03 2019-01-15 北京光年无限科技有限公司 The man-machine interaction method and device based on Forgetting Mechanism for robot
CN108363395A (en) * 2018-02-11 2018-08-03 智久(厦门)机器人科技有限公司 A kind of method of AGV automatic obstacle avoidings
CN112559834A (en) * 2020-12-21 2021-03-26 浙江合张量科技有限公司 Multi-mode output method for intelligent robot system

Similar Documents

Publication Publication Date Title
CN106294854B (en) Man-machine interaction method and device for intelligent robot
CN106933807A (en) Memorandum event-prompting method and system
CN105843381B (en) Data processing method for realizing multi-modal interaction and multi-modal interaction system
CN108664472B (en) Natural language processing method, device and equipment
CN103456314B (en) A kind of emotion identification method and device
CN103546503B (en) Voice-based cloud social intercourse system, method and cloud analysis server
CN109986569B (en) Chat robot with role and personality
WO2018000259A1 (en) Method and system for generating robot interaction content, and robot
CN106774832A (en) A kind of man-machine interaction method and device for intelligent robot
CN107515900B (en) Intelligent robot and event memo system and method thereof
CN104866511B (en) A kind of method and apparatus of addition multimedia file
CN105991847A (en) Call communication method and electronic device
CN106959839A (en) A kind of human-computer interaction device and method
CN105824935A (en) Method and system for information processing for question and answer robot
CN107273477A (en) A kind of man-machine interaction method and device for robot
CN106302933B (en) Voice information processing method and terminal
CN106649404B (en) Method and device for creating session scene database
CN111800331A (en) Notification message pushing method and device, storage medium and electronic equipment
CN104142936A (en) Audio and video match method and audio and video match device
CN110852109A (en) Corpus generating method, corpus generating device, and storage medium
CN105629750A (en) Smart home control method and system
CN105945949A (en) Information processing method and system for intelligent robot
Baimbetov et al. Using big data for emotionally intelligent mobile services through multi-modal emotion recognition
CN111563151A (en) Information acquisition method, session configuration device and storage medium
KR102197660B1 (en) Eldery living pattern recognition system and method

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20170531