CN116401347A - Flexible hooking method based on knowledge capability and robot - Google Patents
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Abstract
The invention provides a flexible hooking method based on knowledge capacity and a robot, which comprises the following steps: dividing robots and knowledge content owned by the robots into a robot layer, a capability layer and a data set layer; the background management service is divided into a robot management module, a capacity management module and a knowledge management module; granting operation authorities of different functional modules to a background manager according to roles; sinking the knowledge content to the data set layer, and constructing a knowledge management mode of the system. The flexible hooking method, the flexible hooking equipment and the flexible hooking computer readable storage medium based on the knowledge capacity and the robot provided by the invention are used for carrying out hierarchical classification processing on the knowledge content owned by the robot, providing refined data authority control, independently managing the authorities of all layers, defining answer sources in the question-answering process, conveniently analyzing and optimizing the question-answering effect, and thermally updating the mounting relation between the robot and the capacity and between the capacity and the data for subsequent question analysis.
Description
Technical Field
The invention relates to the technical field of artificial intelligence question and answer, in particular to a flexible hooking method, equipment and a computer readable storage medium based on knowledge capacity and a robot.
Background
The description of the background art to which the present invention pertains is merely for illustrating and facilitating understanding of the summary of the invention, and should not be construed as an explicit recognition or presumption by the applicant that the applicant regards the prior art as the filing date of the first filed application.
With the development of technology, people can generate a great deal of data in daily life. Included among these data are FAQ question-answer pairs that exist as explicit knowledge, as regulatory, technical documents that exist as unstructured text, and various system-generated relational and knowledge-graph data. People often need to obtain information from these data. It is not an easy matter to want to obtain useful information from such huge and complex data.
At present, the question-answering system with such strong capability is less, and various data are often piled into a robot, and then data retrieval is performed in the robot to obtain answers. This solution has the following problems: 1. the different capacities and the data set data are repeatedly loaded in different robots, so that the repeated consumption of resources is caused; 2. capacity and data set configuration change, and the data in the multiple robots need to be repeatedly changed, so that the realization difficulty is high and the realization is unstable; 3. the mounting relation cannot be updated thermally, once the capacity is mounted on the robot, the capacity is loaded into the internal memory of the robot when the capacity is started, and when the background mounting relation is changed, the mounting relation cannot be updated thermally inside the robot, so that the robot needs to be restarted; 4. the data of the robot cannot be subjected to fine authority control, the data of which aspect of the use of the problems answered by the robot cannot be known clearly, answers are found in the numerous data, and the accuracy cannot be guaranteed; 5. no question and answer data is accumulated, and no help is available for subsequent question analysis.
In order to solve the technical problems, the invention provides a flexible hooking method, equipment and a computer readable storage medium based on knowledge capacity and a robot, which are used for carrying out hierarchical classification processing on knowledge contents owned by the robot, providing refined data authority control, independently managing authorities of each layer, defining answer sources in a question-answering process, conveniently analyzing and optimizing question-answering effects, thermally updating the mounting relation between the robot and the capacity and between the capacity and data, and thermally updating the knowledge contents for subsequent problem analysis.
Disclosure of Invention
The invention provides a flexible hooking method, equipment and a computer readable storage medium based on knowledge capacity and a robot, which are used for carrying out hierarchical classification processing on knowledge content owned by the robot, providing refined data authority control, independently managing authorities of all layers, defining answer sources in the question-answering process, conveniently analyzing and optimizing the question-answering effect, thermally updating the mounting relation between the robot and the capacity and between the capacity and data, and thermally updating the knowledge content for subsequent problem analysis.
The embodiment of the first aspect of the invention provides a flexible hooking method based on knowledge capability and a robot, which comprises the following steps: dividing a robot and knowledge content owned by the robot into three layers, namely a robot layer, a capability layer and a data set layer; the background management service is divided into three functional modules, namely a robot management module, a capability management module and a knowledge management module; granting operation authorities of different functional modules to a background manager according to roles; sinking the knowledge content to the data set layer, and constructing a knowledge management mode of the system.
Preferably, if the background manager grants the operation authority of the role knowledge management module, the role can contribute own knowledge.
Preferably, in three layers of data of a robot layer, a capability layer and a data set layer, each layer can authorize data to be shared by appointed users, a robot owner can mount the capability capable of being viewed by the robot to the robot, and the capability owner can mount the data set capable of being viewed by the robot to the capability of the robot.
Preferably, a capability pool is built, all available capabilities are loaded into the capability pool, and a robot owner mounts the capabilities which can be seen by the robot owner on the robot based on the capability pool.
Preferably, a data set pool is built, which comprises a plurality of data subsets, all knowledge content categories being loaded into different data subsets.
Preferably, the plurality of data subsets comprises a FAQ dataset, a MRC dataset, profile data, relational data.
Preferably, in the foreground question-answering service, each dialogue is passed to the capability pool and the data set pool for the robot in the foreground question-answering service.
Preferably, in the foreground question-answering service, after each dialogue is transferred to the capability pool and the data set pool used by the robot in the foreground question-answering service, the method further comprises the following steps: each question and answer can serve the capability and the data set mounted by the capability of the robot to the foreground question and answer, and the capability mounted on the robot and the data set information change mounted on the capability can be responded to the actual question and answer in real time.
Embodiments of the second aspect of the present invention also provide a flexible hitching apparatus based on knowledge capability and a robot, comprising a memory and a processor; wherein the memory is for storing executable program code; the processor is configured to read executable program code stored in the memory to perform a flexible hooking method based on knowledge capabilities and the robot.
Embodiments of the third aspect of the present invention also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements a flexible hitching method based on knowledge capabilities and robots.
The flexible hooking method, the flexible hooking equipment and the flexible hooking computer readable storage medium based on the knowledge capacity and the robot provided by the invention are used for carrying out hierarchical classification processing on the knowledge content owned by the robot, providing refined data authority control, independently managing the authorities of all layers, defining answer sources in the question-answering process, conveniently analyzing and optimizing the question-answering effect, thermally updating the mounting relation between the robot and the capacity and between the capacity and the data, and thermally updating the knowledge content for subsequent problem analysis.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 illustrates a hierarchical block diagram of a flexible hitching method based on knowledge capability and robots, in accordance with an embodiment of the invention;
FIG. 2 illustrates a data model diagram of a flexible hitching method based on knowledge capacity and robots, in accordance with an embodiment of the invention;
FIG. 3 shows a mounting relationship diagram of a flexible hitching method based on knowledge capacity and robots, in accordance with an embodiment of the invention;
FIG. 4 shows a foreground memory model diagram of a flexible hitching method based on knowledge capacity and robots, in accordance with an embodiment of the invention;
FIG. 5 shows a diagram of a robot configuration process in a flexible hitching method based on knowledge capacity and robots, in accordance with an embodiment of the invention;
FIG. 6 is a block diagram of one embodiment of a flexible hitching apparatus of the present specification based on knowledge capabilities and robots;
FIG. 7 is a block diagram of one embodiment of a computer-readable storage medium of the present specification based on knowledge capabilities and a flexible hitching method of a robot.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
The following discussion provides various embodiments of the invention. While each embodiment represents a single combination of the invention, different embodiments of the invention may be substituted or combined, and the invention is thus to be considered to include all possible combinations of the same and/or different embodiments described. Thus, if one embodiment comprises A, B, C and another embodiment comprises a combination of B and D, then the present invention should also be considered to include embodiments comprising one or more of all other possible combinations comprising A, B, C, D, although such an embodiment may not be explicitly recited in the following.
FIG. 1 illustrates a hierarchical block diagram of a flexible hitching method based on knowledge capability and robots, in accordance with an embodiment of the invention; FIG. 2 illustrates a data model diagram of a flexible hitching method based on knowledge capacity and robots, in accordance with an embodiment of the invention; FIG. 3 shows a mounting relationship diagram of a flexible hitching method based on knowledge capacity and robots, in accordance with an embodiment of the invention; fig. 4 shows a foreground memory model diagram of a flexible hooking method based on knowledge capability and robot according to an embodiment of the invention. As shown in fig. 1-4, the flexible hooking method based on knowledge capability and robot comprises the following steps: step S01, dividing a robot and knowledge content owned by the robot into three layers, namely a robot layer, a capability layer and a data set layer; step S02, dividing the background management service into three functional modules, namely a robot management module, a capability management module and a knowledge management module; step S03, granting operation authorities of different functional modules to a background manager according to roles; and S04, sinking the knowledge content to a data set layer, and constructing a knowledge management mode of the system.
As shown in FIG. 1, the flexible hooking method based on knowledge capacity and robots provided by the embodiment of the invention is used for hierarchical management and sinking of knowledge content. The robot and the knowledge content owned by the robot are divided into three layers, namely a robot, a capability and a data set. The background management service is divided into three functional modules, namely 'robot management', 'capability management', 'knowledge management'. And granting operation authorities of different functional modules to a background manager according to the roles. All knowledge contents are sunk to the data set layer, and knowledge management modes of the whole system are unified. All personnel with 'knowledge management' authority can contribute own knowledge.
2-3, in the flexible hooking method based on knowledge capability and robots provided by the embodiment of the invention, in three layers of data of a robot layer, a capability layer and a data set layer, each layer can authorize data to be shared by appointed users, a robot owner can mount the capability which can be viewed by the robot owner on the robot of the robot, and the capability owner can mount the data set which can be viewed by the robot owner on the capability of the robot; and multi-layer authorization and flexible hooking are realized. Wherein, a part of robots, capabilities, data sets can authorize a designated user to share the data, data set B is mounted to capability a, data set C is mounted to capability a, data set F is mounted to capability B, capability B is mounted to robot B, C, capability D is mounted to robot a, robot a is mounted with capability A, D, and robot B is mounted with capability A, B.
As shown in fig. 4, the flexible hooking method based on knowledge capability and robots provided by the embodiment of the invention builds a capability pool, loads all available capability into the capability pool, and a robot owner mounts the capability which can be viewed by the robot owner onto the robot based on the capability pool; constructing a data set pool, wherein the data set pool comprises a plurality of data subsets, and all knowledge content is classified and loaded into different data subsets; the plurality of data subsets includes FAQ data sets, MRC data sets, map data, relational data. Pooling capability and knowledge, no repeated loading and improved concurrency. In the foreground question-answering service, all capability data sets are not data isolated by robots, but all available capabilities are loaded into a capability pool, and all knowledge content classifications are loaded into different types of data set pools. The method can not be repeatedly loaded in different robot spaces, improves the utilization rate of hardware resources, can not be repeatedly searched under the same capacity and data set, greatly reduces response time and improves system concurrency. And the memory model of the foreground service provides and uses a capability pool and a data set pool, the capability and the data set are not repeatedly loaded, the capability and the data set are flexibly mounted, and the response efficiency is improved.
In the flexible hooking method based on knowledge capability and the robot, in the foreground question-answering service, each dialogue is transmitted to a capability pool and a data set pool used by the foreground question-answering service; each question and answer can serve the capability and the data set mounted by the capability of the robot to the foreground question and answer, and the capability mounted on the robot and the data set information change mounted on the capability can be responded to the actual question and answer in real time. The method comprises the steps of actively data authority, ensuring the accuracy and safety of question and answer effects, carrying out pooling capability and data sets in the steps, integrating knowledge content in question and answer services, adopting an actively data authority scheme, namely transmitting the capability and the data sets used by a foreground question and answer service robot to each dialogue, marking the data set label on knowledge data, only searching all FAQ knowledge of each dialogue, only searching all MRC knowledge once, only processing repeated capability, and ensuring the accuracy and safety of the data question and answer data authority range according to data when responding answers. And (3) carrying out data thermal updating and thermal mounting, wherein each question and answer can serve the capability of the robot mounted and the data set under the capability to the foreground question and answer based on the initiative data authority in the previous step, and the capability of the robot mounted and the data set information change of the capability mounted can be responded to the actual question and answer in real time. The updating of the knowledge content in the data set is updated to a specific database in real time, and the data retrieval is always retrieved from the database, so that the method can be embodied on questions and answers in real time.
It should be understood by those skilled in the art that, in the technical solution provided by the embodiment of the present invention, an active authority solution actively provides the capability and the data set owned by the robot each time, and the capability of being mounted on the robot and the change of the information of the data set mounted on the capability can be responded to the actual question and answer in real time; the robot information data can also be stored in the redis by using the question and answer service and the management service to share the distributed cache data, for example, the background management service can read the robot information data from the redis each time.
FIG. 5 shows a diagram of a robot configuration process in a flexible hitching method based on knowledge capacity and robots, in accordance with an embodiment of the invention; as shown in fig. 5, the robot configuration process includes the steps of: logging in; creating a data set; newly adding FAQ/MRC data; newly-built capacity; capability mount data sets; capacity is put on line; creating a robot; robot mounting capability; the robot is on line; the robot configuration is completed.
FIG. 6 is a block diagram of one embodiment of a flexible hitching apparatus of the present specification based on knowledge capabilities and robots. Referring now to fig. 6, a schematic diagram of a knowledge-based and robotic flexible hitching apparatus 300 suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 6 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 6, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via a communication device 309, or installed from a storage device 308, or installed from a ROM 302. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.
FIG. 7 is a block diagram of one embodiment of a computer-readable storage medium of the present specification based on knowledge capabilities and a flexible hitching method of a robot. As shown in fig. 7, a computer-readable storage medium 40 according to an embodiment of the present disclosure has stored thereon non-transitory computer-readable instructions 41. When the non-transitory computer readable instructions 41 are executed by the processor, all or part of the steps of the knowledge-based capability and robot flexible hitching method of the various embodiments of the present disclosure described previously are performed.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: constructing a basic page, wherein the page code of the basic page is used for constructing an environment required by the operation of the service page and/or realizing the same abstract workflow in the similar service scene; constructing one or more page templates, wherein the page templates are used for providing code templates for realizing service functions in service scenes; based on the corresponding page template, generating a final page code of each page of the service scene through code conversion of a specific function of each page of the service scene; and merging the generated final page code of each page into the page code of the basic page to generate the code of the service page.
Alternatively, the computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: constructing a basic page, wherein the page code of the basic page is used for constructing an environment required by the operation of the service page and/or realizing the same abstract workflow in the similar service scene; constructing one or more page templates, wherein the page templates are used for providing code templates for realizing service functions in service scenes; based on the corresponding page template, generating a final page code of each page of the service scene through code conversion of a specific function of each page of the service scene; and merging the generated final page code of each page into the page code of the basic page to generate the code of the service page.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
The flexible hooking method, the flexible hooking equipment and the flexible hooking computer readable storage medium based on the knowledge capacity and the robot provided by the invention are used for carrying out hierarchical classification processing on the knowledge content owned by the robot, providing refined data authority control, independently managing the authorities of all layers, defining answer sources in the question-answering process, conveniently analyzing and optimizing the question-answering effect, thermally updating the mounting relation between the robot and the capacity and between the capacity and the data, and thermally updating the knowledge content for subsequent problem analysis.
In the present invention, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; the term "plurality" means two or more, unless expressly defined otherwise. The terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; "coupled" may be directly coupled or indirectly coupled through intermediaries. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In the description of the present invention, it should be understood that the directions or positional relationships indicated by the terms "upper", "lower", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of description and simplification of the description, and do not indicate or imply that the apparatus or unit referred to must have a specific direction, be constructed and operated in a specific direction, and therefore, should not be construed as limiting the present invention.
In the description of the present specification, the terms "one embodiment," "some embodiments," "particular embodiments," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative of certain embodiments of the present invention and is not intended to limit the invention so that various modifications and changes may be made to the invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The flexible hooking method based on the knowledge capability and the robot is characterized by comprising the following steps of:
dividing a robot and knowledge content owned by the robot into three layers, namely a robot layer, a capability layer and a data set layer;
the background management service is divided into three functional modules, namely a robot management module, a capability management module and a knowledge management module;
granting operation authorities of different functional modules to a background manager according to roles;
sinking the knowledge content to the data set layer, and constructing a knowledge management mode of the system.
2. The flexible hooking method based on knowledge capability and robot according to claim 1, wherein the role can contribute its own knowledge if the background manager grants the operation authority of the role knowledge management module.
3. The flexible hitching method based on knowledge capacity and robot of claim 1, wherein: in the three layers of data of the robot layer, the capability layer and the data set layer, each layer can authorize data to be shared by appointed users, a robot owner can mount the capability which can be viewed by the robot to the robot, and the capability owner can mount the data set which can be viewed by the robot to the capability of the robot.
4. A flexible hitching method based on knowledge capabilities and robots as claimed in any one of claims 1-3, wherein a capability pool is built, all available capabilities are loaded to the capability pool, and the robot owner mounts capabilities that it can see to itself to its robot based on the capability pool.
5. The flexible hitching method based on knowledge capacity and robot of claim 4, wherein a data set pool is built, the data set pool comprising a plurality of data subsets, all knowledge content classifications being loaded into different data subsets.
6. The knowledge-based flexible hitching method of claim 5, wherein the plurality of data subsets comprises a FAQ data set, an MRC data set, map data, relational data.
7. The flexible hitching method based on knowledge capacity and robot of claim 6, further comprising the steps of: in the foreground question and answer service, each dialogue is passed to the capability pool and the data set pool for the robot in the foreground question and answer service.
8. The flexible hooking method based on knowledge capacity and robot according to claim 7, wherein after the step of transferring each dialogue to the capacity pool and the data set pool used by the robot in the foreground question-answering service, the method further comprises the steps of: each question and answer can serve the capability and the data set mounted by the capability of the robot to the foreground question and answer, and the capability mounted on the robot and the data set information change mounted on the capability can be responded to the actual question and answer in real time.
9. A flexible hitching apparatus based on knowledge capability and a robot, comprising a memory and a processor; wherein the memory is for storing executable program code; the processor is configured to read executable program code stored in the memory to perform the knowledge-based capability and robot-based flexible hooking method according to any of claims 1-8.
10. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the flexible hitching method based on knowledge capabilities and robots of any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310243919.2A CN116401347A (en) | 2023-03-09 | 2023-03-09 | Flexible hooking method based on knowledge capability and robot |
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| CN108664656A (en) * | 2018-05-18 | 2018-10-16 | 上海智臻智能网络科技股份有限公司 | Knowledge data automatic synchronous method and knowledge data method for automatically inputting |
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