CN111496820A - Method, device, storage medium and equipment for voice scheduling robot - Google Patents
Method, device, storage medium and equipment for voice scheduling robot Download PDFInfo
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- CN111496820A CN111496820A CN202010558592.4A CN202010558592A CN111496820A CN 111496820 A CN111496820 A CN 111496820A CN 202010558592 A CN202010558592 A CN 202010558592A CN 111496820 A CN111496820 A CN 111496820A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/0005—Manipulators having means for high-level communication with users, e.g. speech generator, face recognition means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/008—Manipulators for service tasks
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1602—Programme controls characterised by the control system, structure, architecture
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1679—Programme controls characterised by the tasks executed
Abstract
The application discloses a method, a device, a storage medium and equipment for dispatching a robot by voice, which respond to voice collected by a guest room telephone terminal and determine the intention of voice indication. And creating a task order according to the corresponding relation between the intention and the preset service flow, wherein the task order comprises at least one task request, and the task request is used for scheduling the robot. And acquiring the state information of the robot, and determining the corresponding relation between the robot and the task request according to the task order and the state information. And sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute the service. Therefore, in the process of dispatching the robot, the intention of the guest is determined based on the voice of the guest room telephone terminal, the task request is sent to the robot according to the service flow corresponding to the intention, the robot is triggered to execute the service, no manual participation in task transfer exists in the task interaction process between the guest and the robot, and the intelligent level of robot dispatching is improved.
Description
Technical Field
The present application relates to the field of intelligent robots, and in particular, to a method, an apparatus, a storage medium, and a device for voice scheduling a robot.
Background
With the deep development of digitization and intelligent technologies in various fields, more intelligent devices emit light and heat in the hotel service industry. The intelligent robot is used as one of various intelligent devices, and can provide delivery service for hotel guests. Based on the delivery service provided by the robot, the novel accommodation experience degree can be brought to guests, the labor capacity of hotel workers is reduced, and the intelligent service level of the hotel is improved.
At present, in the process of requesting robot service by voice through telephone, a hotel guest usually needs to manually transfer the voice request of the guest, that is, a customer service staff is arranged to answer the voice request of the guest, and the customer service staff issues an instruction to the robot, so that the robot executes the service requested by the guest according to the instruction. As the task transfer is carried out manually in the process of dispatching the robot, the intellectualization level of the existing robot dispatching means is low.
Disclosure of Invention
The application provides a method, a device, a storage medium and equipment for dispatching a robot by voice, and aims to improve the intelligent level of robot dispatching.
In order to achieve the above object, the present application provides the following technical solutions:
a method of voice scheduling a robot, comprising:
responding to voice collected by a guest room telephone terminal, and determining the intention indicated by the voice;
creating a task order according to the corresponding relation between the intention and a preset service flow, wherein the task order comprises at least one task request, and the task request is used for scheduling the robot;
acquiring state information of the robot;
determining the corresponding relation between the robot and the task request according to the task order and the state information;
and sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute service.
Optionally, the determining, according to the task order and the state information, a corresponding relationship between the robot and the task request includes:
determining the type of the robot corresponding to the task request;
determining a corresponding relation between a target robot and the task request aiming at the type of the robot; wherein the target robot is any one of the robots of the type.
Optionally, the types of the robot include:
a delivery robot and a delivery robot.
Optionally, the determining, for the robot of the type, a corresponding relationship between a target robot and the task request includes:
aiming at the delivery robots, calculating the estimated execution time of each delivery robot according to a preset formula, wherein the estimated execution time is used for indicating the time spent by the delivery robots for executing the task requests;
comparing the estimated execution time of each delivery robot;
selecting a target delivery robot from the delivery robots according to a comparison result, wherein the estimated execution time of the target delivery robot is less than the estimated execution times of other delivery robots;
and determining the corresponding relation between the target object-conveying robot and the task request.
Optionally, after determining the corresponding relationship between the robot and the task request according to the task order and the state information, the method further includes:
prompting a hotel attendant to execute a target task request when the target task request exists in the task order; wherein the target task request is used for indicating the service which cannot be executed by the robot, and the service which cannot be executed by the robot is specified in advance by a hotel.
Optionally, the types of intents include a consultation service intention and a robot service intention;
creating a task order according to the corresponding relation between the intention and a preset service flow, wherein the task order comprises the following steps:
creating a task order according to the corresponding relation between the robot service intention and a preset service flow;
further comprising:
carrying out voice communication with the guest room telephone terminal according to a pre-configured voice conversation flow; wherein the voice conversation flow comprises a preset reply conversation for the advisory service intent.
Optionally, the determining the intention of the voice instruction in response to the voice collected by the guest room telephone terminal includes:
acquiring voice information of a guest room telephone terminal based on a preset voice gateway;
converting the voice information into character information based on a preset voice recognition engine;
and performing semantic recognition on the character information based on a preset semantic recognition engine to obtain semantic content indicated by the character information, and matching the semantic content with multiple preset intentions to obtain the intention indicated by the voice information.
An apparatus to voice dispatch a robot, comprising:
the response unit is used for responding to the voice collected by the guest room telephone terminal and determining the intention indicated by the voice;
the creating unit is used for creating a task order according to the corresponding relation between the intention and a preset service flow, wherein the task order comprises at least one task request, and the task request is used for scheduling the robot;
an acquisition unit configured to acquire state information of the robot;
the determining unit is used for determining the corresponding relation between the robot and the task request according to the task order and the state information;
and the sending unit is used for sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute service.
A computer-readable storage medium comprising a stored program, wherein the program performs the method of voice scheduling a robot.
An apparatus to voice dispatch a robot, comprising: a processor, a memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing a program, and the processor is used for executing the program, wherein the program executes the method for scheduling the robot by voice when running.
According to the technical scheme, the intention of voice indication is determined in response to voice collected by the guest room telephone terminal. And creating a task order according to the corresponding relation between the intention and the preset service flow, wherein the task order comprises at least one task request, and the task request is used for scheduling the robot. And acquiring the state information of the robot, and determining the corresponding relation between the robot and the task request according to the task order and the state information. And sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute the service. Therefore, in the process of dispatching the robot, the intention of the guest is determined based on the voice of the guest room telephone terminal, the task request is sent to the robot according to the service flow corresponding to the intention, the robot is triggered to execute the service, no manual work participates in task transfer in the task interaction process between the guest and the robot, and the intelligent level of robot dispatching is effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a method for scheduling a robot by voice according to an embodiment of the present application;
FIG. 2 is a schematic diagram of another method for scheduling robots with voice according to an embodiment of the present disclosure;
FIG. 3 is a flowchart illustrating a method for recognizing a speech intention of a room phone terminal according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart illustrating a process of determining a correspondence between a target object-delivery robot and a task request according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an apparatus for scheduling a robot by voice according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The flow provided by the embodiment of the application is applied to a hotel service system, specifically can be executed by a server and is used for improving the intelligent level of robot scheduling.
As shown in fig. 1, a schematic diagram of a method for scheduling a robot by voice according to an embodiment of the present application includes the following steps:
s101: a guest's phone request is received.
The specific implementation process for receiving the telephone request of the guest comprises the following steps: the method comprises the steps that communication contact is established with a guest room telephone terminal in a hotel on the basis of preset voice access equipment, when a guest carries out a service request through the guest room telephone terminal, the number of the guest room telephone terminal is identified through a preset voice gateway, and voice information of the guest room telephone terminal is obtained on the basis of Session Initiation Protocol (SIP).
It should be noted that the voice access device includes, but is not limited to, an external switch (FXO), and the number of terminal interfaces of the external switch is consistent with the number of the telephone terminals of the guest room. The specific type of the voice gateway can be selected by a technician according to actual situations, for example, the voice gateway having functions of supporting caller number recognition, voice routing line selection, SIP protocol support, and the like can be selected. In addition, in the process of using the external switch and the voice gateway, the voice gateway should be configured with the same relay number as the hotel customer service number, and the server port of the external switch should be configured with the SIP access address in advance.
S102: and carrying out voice call with the guest according to the pre-configured voice conversation flow, and carrying out voice recognition and semantic recognition on the voice call of the guest to obtain the intention of the guest.
Where the voice dialog flow includes a preset answer to the intent (e.g., "good, the casino is on level 1, ask what services you need yet) intended to indicate the services that the guest actually desires.
It should be noted that, in this embodiment, multiple corpora (which are different expressions of the same intention) are configured in advance for each intention, for example, "i need to drink water", "give me a bottle of mineral water", and "there is no water to drink" or the like.
Specifically, after receiving a telephone request of a guest, a preset greeting voice (for example, "you are good, ask what service you need") is played to talk with the guest, the guest answers "i need water bottle", then the voice replies to the guest according to a preset dialogue flow, "good", and later, the guest can be sent as soon as possible, and then the guest needs other help ", and the like.
In this embodiment, the specific implementation process of performing speech recognition and semantic recognition on the guest's voice call includes: the method comprises the steps of converting voice information of a guest into character information based on a preset voice recognition engine, carrying out semantic recognition on the character information based on the preset semantic recognition engine to obtain semantic content indicated by the character information, and matching the semantic content with multiple preset intentions to obtain the intention of the guest.
It should be noted that, in this embodiment, various intentions (i.e., various services provided by the hotel for the guest) are configured in advance according to the actual scene of the hotel service, and specifically, the hotel may provide the guest with consulting services (for example, prompting information of scenic spots around the guest and wifi information), manual services (for example, cleaning rooms, maintaining electrical appliances, washing clothes, and the like), robot services, and other types of services.
It is emphasized that each intent is to pre-configure the corresponding service flow. In this embodiment, the specific configuration process of the service flow includes: and configuring the service flow according to a flow graphical mode, and converting the preset service flow into a configuration file in an xml format.
Specifically, for the advisory service, assuming that the intention of the guest is "where breakfast", the corresponding service flow includes: the client is replied by the telephone voice to ' you good ', the breakfast time is 7 to 10 o ' clock, the client is positioned at the left hand side of the elevator at the first floor, and the client asks to carry the house card to have a meal in the time. Ask what help is also needed ". Assuming that the intention of the guest is "what wifi password is", the corresponding service flow includes: the client is replied by the telephone voice, the client is 'hello', the client can search the wireless network hotspot of the China-Mercure and log in the website to carry out mobile phone verification, and the client can use the mobile phone. You also need other services "do you assume that the intention of the guest is" please help me go to the foreground ", and the corresponding service flow includes: the user can reply that the user is good and can transfer manual service to the user through the voice of the telephone, and the telephone of the user is transferred to the hotel foreground through the voice gateway.
Specifically, for manual service, it is assumed that the intention of the guest is "please help me to clean a room", and the corresponding service flow includes: the method comprises the steps of replying a guest 'good, i.e. answering the guest's voice 'good, arranging our waiter to clean a room for you and asking for other services', sending a message of a cleaning task to the waiter through wired communication or wireless communication (such as WeChat, mobile phone short message and the like), and sending voice '8008 room needs to be cleaned' to the waiter through an interphone. Assuming that the intention of the guest is "call me to get up at 8 am", the corresponding service flow includes: the method comprises the steps of replying a guest 'good, I will call you at 8 am and do you need other services' through a telephone voice, sending a message of a wake-up task to a waiter through wired communication or wireless communication, and sending a voice '8008 room needs wake-up service' to the waiter through a interphone.
Specifically, for robot service, assume that the intention of a guest is "i need a bottle of shampoo", and the corresponding service flow includes: the client is answered through telephone voice, the robot can be sent to as soon as possible, and needs other help, and a material sending instruction is sent to the robot through a network communication mode, so that shampoo is put in a container and sent to a room of the client through the robot.
It should be noted that the above specific implementation process is only for illustration.
S103: and under the condition that the intention belongs to the service category of the robot, creating a task order according to the service flow corresponding to the intention.
The task order comprises at least one task request, and the task request is used for scheduling the robot.
S104: and acquiring state information of the robot.
The state information of the robot at least includes a working state of the robot (i.e., whether the robot is in the working state), sale information of the transported object (i.e., whether the object required by the guest is sold), task queue information of the robot (i.e., the number of tasks currently responsible for the robot), and a current position of the robot.
S105: and determining the corresponding relation between the robot and the task request according to the task order and the state information of the robot.
The specific implementation process for determining the corresponding relation between the robot and the task request according to the task order and the state information of the robot comprises the following steps: the type of the robot corresponding to the task request is determined, and the type of the robot includes, but is not limited to, a supply robot (e.g., an automatic container for performing article shipment) and a delivery robot (e.g., for performing article transport). Further, if the article supply robot does not sell the article required by the guest or the article required by the guest is sold out, the hotel attendant is prompted to replenish the article. Aiming at the delivery robots, the estimated execution time of each delivery robot is calculated according to a formula (1), the estimated execution time of each delivery robot is compared, a target delivery robot is selected from each delivery robot according to the comparison result, and the corresponding relation between the target delivery robot and the task request is determined. In this embodiment, the estimated execution time of the target delivery robot is less than the estimated execution times of the other delivery robots.
In the formula (1), the first and second groups,
the number of queued tasks represents the number of task requests currently received by the delivery robot, and represents the average of the time spent by the delivery robot to carry out article transport in the past (i.e., the ratio of the sum of the time spent to carry out article transport in the past to the number of task requests carried out in the past).
It should be noted that, based on the corresponding relationship between the target delivery robot and the task request, the efficiency optimization of the delivery link of the robot is realized, and the waiting time of guests is effectively reduced, so that the intelligent level of the service of the robot can be effectively improved.
S106: and sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute the service.
The specific implementation process for triggering the robot to execute the service is common knowledge familiar to those skilled in the art, and is not described herein again.
Optionally, when the target task request exists in the task order, the hotel attendant is prompted to execute the target task request. Wherein the target task request is used for indicating the service which can not be executed by the robot, and the service which can not be executed by the robot is preset by the hotel.
In addition, in this embodiment, the state of the robot executing service (i.e., executing the task request) is further obtained, and the state of the robot executing service is sent to the preset terminal, so that a hotel administrator monitors the working state of the robot through the preset terminal, thereby enhancing the control on the robot.
In summary, a telephone request of a guest is received, the intention of the guest is obtained by performing voice recognition and semantic recognition on the voice call of the guest, and a task order is created according to a service flow corresponding to the intention. And determining the corresponding relation between the robot and the task request according to the task order and the state information of the robot. And sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute the service. Therefore, in the process of dispatching the robot, the embodiment determines the intention of the guest based on the voice of the guest room telephone terminal, sends a task request to the robot according to the service flow corresponding to the intention, and triggers the robot to execute the service, so that the guest does not participate in task transfer manually in the task interaction process with the robot, and the intelligent level of robot dispatching is effectively improved.
It should be noted that the steps of the voice scheduling robot shown in the foregoing embodiment may be summarized as the flow shown in fig. 2.
As shown in fig. 2, a schematic diagram of another method for scheduling a robot by voice according to an embodiment of the present application includes the following steps:
s201: the intent of the voice indication is determined in response to voice collected by the room telephone terminal.
The specific implementation process of determining the intention of the voice instruction in response to the voice collected by the guest room telephone terminal can refer to the following steps shown in fig. 3 and the explanation of the steps.
S202: and creating a task order according to the corresponding relation between the intention and the preset service flow.
The task order comprises at least one task request, and the task request is used for scheduling the robot.
Optionally, the types of intents include a consultation service intention and a robot service intention. Therefore, in the embodiment, the task order is created according to the corresponding relationship between the robot service intention and the preset service flow. In addition, according to the pre-configured voice conversation flow, the voice conversation is carried out with the guest room telephone terminal. Wherein the voice conversation flow includes a preset reply conversation for the counseling service intention.
It should be noted that the specific implementation process and implementation principle of S202 are consistent with the specific implementation process and implementation principle of S103, and are not described herein again.
S203: and acquiring state information of the robot.
The specific implementation process and implementation principle of S203 are consistent with the specific implementation process and implementation principle of S104, and are not described herein again.
S204: and determining the corresponding relation between the robot and the task request according to the task order and the state information.
The specific implementation process for determining the corresponding relation between the robot and the task request according to the task order and the state information comprises the following steps: and determining the type of the robot corresponding to the task request, and determining the corresponding relation between the target robot and the task request aiming at the type of the robot, wherein the target robot is any one of the robots of the type.
Alternatively, the types of robots include a delivery robot and a delivery robot.
For the delivery robot, the specific implementation process for determining the correspondence between the target delivery robot and the task request may refer to the following steps and the explanation of the steps shown in fig. 4.
S205: and sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute the service.
The specific implementation process and implementation principle of S205 are consistent with the specific implementation process and implementation principle of S106, and are not described herein again.
Optionally, when the target task request exists in the task order, the hotel attendant is prompted to execute the target task request. Wherein the target task request is used for indicating the service which can not be executed by the robot, and the service which can not be executed by the robot is preset by the hotel.
In summary, the intention of the voice indication is determined in response to the voice collected by the room telephone terminal. And creating a task order according to the corresponding relation between the intention and the preset service flow. And acquiring the state information of the robot, and determining the corresponding relation between the robot and the task request according to the task order and the state information. And sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute the service. Therefore, in the process of dispatching the robot, the embodiment determines the intention of the guest based on the voice of the guest room telephone terminal, sends a task request to the robot according to the service flow corresponding to the intention, and triggers the robot to execute the service, so that the guest does not participate in task transfer manually in the task interaction process with the robot, and the intelligent level of robot dispatching is effectively improved.
As shown in fig. 3, a schematic flowchart of a process for recognizing a speech intention of a guest room telephone terminal according to an embodiment of the present application includes the following steps:
s301: and acquiring voice information of the guest room telephone terminal based on a preset voice gateway.
The specific implementation process and implementation principle of S301 are consistent with those of S101, and are not described herein again.
S302: and converting the voice information into character information based on a preset voice recognition engine.
For a specific implementation process and implementation principle of S302, reference may be made to the explanation shown in S102.
S303: and performing semantic recognition on the character information based on a preset semantic recognition engine to obtain semantic content indicated by the character information, and matching the semantic content with multiple preset intentions to obtain the intention indicated by the voice information.
For a specific implementation process and implementation principle of S303, reference may be made to the explanation shown in S102 above.
In summary, based on the voice gateway, the voice recognition engine, and the semantic recognition engine provided in this embodiment, voice recognition and semantic recognition of the voice information of the guest room telephone terminal can be implemented, so as to obtain the intention of the voice instruction of the guest room telephone terminal.
As shown in fig. 4, a schematic flowchart of a process for determining a correspondence between a target object-delivery robot and a task request according to an embodiment of the present application includes the following steps:
s401: and aiming at the delivery robots, calculating the estimated execution time of each delivery robot according to a preset formula.
The estimated execution time is used for indicating the time spent by the delivery robot for executing the task request.
It should be noted that the above formula (1) is a specific expression of the preset formula in this embodiment.
S402: and comparing the estimated execution time of each delivery robot.
S403: and selecting the target object-conveying robot from the object-conveying robots according to the comparison result.
The estimated execution time of the target object-delivery robot is less than the estimated execution times of other object-delivery robots.
S404: and determining the corresponding relation between the target object-conveying robot and the task request.
In summary, for the object-conveying robots, the estimated execution time of each object-conveying robot is calculated according to the preset formula. And comparing the estimated execution time of each object-delivery robot, selecting a target object-delivery robot from each object-delivery robot according to the comparison result, and determining the corresponding relation between the target object-delivery robot and the task request. It can be seen that, in the embodiment, the corresponding target robot is selected for the task request, and the time spent by the target robot to execute the service is shorter, so that the waiting time of guests is reduced, and the intelligent level of robot scheduling is improved.
Corresponding to the method for dispatching the robot by voice provided by the application, the application also provides a device for dispatching the robot by voice.
As shown in fig. 5, a schematic structural diagram of an apparatus for scheduling a robot by voice according to an embodiment of the present application includes:
a response unit 100 for determining the intention of the voice instruction in response to the voice collected by the guest room telephone terminal.
The specific implementation process of the response unit 100 responding to the voice collected by the guest room telephone terminal and determining the intention of the voice indication includes: and acquiring voice information of the guest room telephone terminal based on a preset voice gateway. And converting the voice information into character information based on a preset voice recognition engine. And performing semantic recognition on the character information based on a preset semantic recognition engine to obtain semantic content indicated by the character information, and matching the semantic content with multiple preset intentions to obtain the intention indicated by the voice information.
The creating unit 200 is configured to create a task order according to a corresponding relationship between the intention and the preset service flow, where the task order includes at least one task request, and the task request is used for scheduling the robot.
Wherein the types of intents include a consultation service intention and a robot service intention. The specific implementation process of creating the task order by the creating unit 200 according to the corresponding relationship between the intention and the preset service flow includes: and creating a task order according to the corresponding relation between the robot service intention and the preset service flow. And carrying out voice communication with the guest room telephone terminal according to a pre-configured voice conversation flow, wherein the voice conversation flow comprises a preset reply conversation aiming at the consultation service intention.
An obtaining unit 300 for obtaining status information of the robot.
The determining unit 400 is configured to determine a corresponding relationship between the robot and the task request according to the task order and the status information.
The specific implementation process of determining the corresponding relationship between the robot and the task request by the determining unit 400 according to the task order and the state information includes: the method comprises the steps of determining the type of a robot corresponding to a task request, and determining the corresponding relation between a target robot and the task request aiming at the type of the robot, wherein the target robot is any one of the robots of the type. Further, the types of the robot include: a delivery robot and a delivery robot. And aiming at the delivery robots, calculating the estimated execution time of each delivery robot according to a preset formula, wherein the estimated execution time is used for indicating the time spent by the delivery robots for executing the task requests. And comparing the estimated execution time of each delivery robot. And selecting the target delivery robot from the delivery robots according to the comparison result, wherein the estimated execution time of the target delivery robot is less than the estimated execution time of other delivery robots. And determining the corresponding relation between the target object-conveying robot and the task request.
The sending unit 500 is configured to send the task request to the corresponding robot according to the corresponding relationship between the robot and the task request, and trigger the robot to execute the service.
And a prompting unit 600, configured to prompt a hotel attendant to execute the target task request when the target task request exists in the task order. The target task request is used for indicating the service which cannot be executed by the robot, and the service which cannot be executed by the robot is preset by the hotel.
In summary, the intention of the voice indication is determined in response to the voice collected by the room telephone terminal. And creating a task order according to the corresponding relation between the intention and the preset service flow. And acquiring the state information of the robot, and determining the corresponding relation between the robot and the task request according to the task order and the state information. And sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute the service. Therefore, in the process of dispatching the robot, the embodiment determines the intention of the guest based on the voice of the guest room telephone terminal, sends a task request to the robot according to the service flow corresponding to the intention, and triggers the robot to execute the service, so that the guest does not participate in task transfer manually in the task interaction process with the robot, and the intelligent level of robot dispatching is effectively improved.
The present application also provides a computer-readable storage medium including a stored program, wherein the program performs the method of voice scheduling a robot provided by the present application.
The present application further provides a device of a voice scheduling robot, comprising: a processor, a memory, and a bus. The processor is connected with the memory through the bus, the memory is used for storing programs, and the processor is used for running the programs, wherein when the programs are run, the method for scheduling the robot by voice is executed.
The functions described in the method of the embodiment of the present application, if implemented in the form of software functional units and sold or used as independent products, may be stored in a storage medium readable by a computing device. Based on such understanding, part of the contribution to the prior art of the embodiments of the present application or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of voice scheduling a robot, comprising:
responding to voice collected by a guest room telephone terminal, and determining the intention indicated by the voice;
creating a task order according to the corresponding relation between the intention and a preset service flow, wherein the task order comprises at least one task request, and the task request is used for scheduling the robot;
acquiring state information of the robot;
determining the corresponding relation between the robot and the task request according to the task order and the state information;
and sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute service.
2. The method of claim 1, wherein determining the correspondence of the robot to the task request based on the task order and the status information comprises:
determining the type of the robot corresponding to the task request;
determining a corresponding relation between a target robot and the task request aiming at the type of the robot; wherein the target robot is any one of the robots of the type.
3. The method of claim 2, wherein the type of robot comprises:
a delivery robot and a delivery robot.
4. A method according to claim 3, wherein said determining a correspondence of a target robot to said task request for said robot of said type comprises:
aiming at the delivery robots, calculating the estimated execution time of each delivery robot according to a preset formula, wherein the estimated execution time is used for indicating the time spent by the delivery robots for executing the task requests;
comparing the estimated execution time of each delivery robot;
selecting a target delivery robot from the delivery robots according to a comparison result, wherein the estimated execution time of the target delivery robot is less than the estimated execution times of other delivery robots;
and determining the corresponding relation between the target object-conveying robot and the task request.
5. The method of claim 1, wherein after determining the correspondence between the robot and the task request based on the task order and the status information, further comprising:
prompting a hotel attendant to execute a target task request when the target task request exists in the task order; wherein the target task request is used for indicating the service which cannot be executed by the robot, and the service which cannot be executed by the robot is specified in advance by a hotel.
6. The method of claim 1, wherein the types of intent include advisory service intent and robotic service intent;
creating a task order according to the corresponding relation between the intention and a preset service flow, wherein the task order comprises the following steps:
creating a task order according to the corresponding relation between the robot service intention and a preset service flow;
further comprising:
carrying out voice communication with the guest room telephone terminal according to a pre-configured voice conversation flow; wherein the voice conversation flow comprises a preset reply conversation for the advisory service intent.
7. The method of claim 1, wherein determining the intent of the voice indication in response to the voice captured by the room phone terminal comprises:
acquiring voice information of a guest room telephone terminal based on a preset voice gateway;
converting the voice information into character information based on a preset voice recognition engine;
and performing semantic recognition on the character information based on a preset semantic recognition engine to obtain semantic content indicated by the character information, and matching the semantic content with multiple preset intentions to obtain the intention indicated by the voice information.
8. An apparatus for voice scheduling a robot, comprising:
the response unit is used for responding to the voice collected by the guest room telephone terminal and determining the intention indicated by the voice;
the creating unit is used for creating a task order according to the corresponding relation between the intention and a preset service flow, wherein the task order comprises at least one task request, and the task request is used for scheduling the robot;
an acquisition unit configured to acquire state information of the robot;
the determining unit is used for determining the corresponding relation between the robot and the task request according to the task order and the state information;
and the sending unit is used for sending the task request to the corresponding robot according to the corresponding relation between the robot and the task request, and triggering the robot to execute service.
9. A computer-readable storage medium, comprising a stored program, wherein the program performs the method of voice scheduling a robot of any of claims 1-7.
10. An apparatus for voice scheduling a robot, comprising: a processor, a memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing a program and the processor is used for executing the program, wherein the program executes the method for voice scheduling the robot according to any one of claims 1-7.
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