CN112506197A - Control method and device of navigation robot, electronic equipment and storage medium - Google Patents
Control method and device of navigation robot, electronic equipment and storage medium Download PDFInfo
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
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- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0225—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving docking at a fixed facility, e.g. base station or loading bay
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- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
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Abstract
The invention discloses a control method and a control device of a navigation robot, electronic equipment and a storage medium, wherein the method comprises the following steps: identifying a current control signal received from a current signal source according to current signal source information based on signal identification rules of at least two candidate signal sources in a signal adaptation layer to obtain a current event; and sending the current event to a navigation robot, and enabling the navigation robot to execute the current event. According to the technical scheme of the embodiment of the invention, under the condition that the signal source sends the signal, the type of the signal source does not need to be concerned, and only the current event related to the signal needs to be executed, so that the navigation robot is decoupled from the signal identification, and the navigation efficiency is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of artificial intelligence, in particular to a control method and device of a navigation robot, electronic equipment and a storage medium.
Background
With the continuous development of artificial intelligence technology, more and more intelligent devices are applied to people's daily life, and for example, tourist sites such as museums and exhibitions gradually begin to provide intelligent tour guide service for visitors by introducing a tour guide robot, so that the tour experience of the visitors is improved on the one hand, and the manual explanation cost is also reduced on the other hand.
At present, the navigation robot needs to respond to various signal source hardware according to the characteristics of the signal. For example: the bluetooth remote controller code value 88 represents pause navigation, and the upper module needs to judge whether the bluetooth remote controller code value is 88, if yes, pause is executed, otherwise, pause is not executed, and in this case, every time a remote controller is added, the code value representing pause changes, so that the upper module also needs to modify adaptation changes.
As the navigation robot needs to care about the signal source type when responding to the signals sent by various signal sources, once the signal sources need to be added, the working cost of the docking signal sources is greatly increased. Therefore, how to respond to various signal source signals in other ways is an urgent problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a control method and device of a navigation robot, electronic equipment and a storage medium, which can improve navigation efficiency.
In a first aspect, an embodiment of the present invention provides a method for controlling a navigation robot, where the method includes:
identifying a current control signal received from a current signal source according to current signal source information based on signal identification rules of at least two candidate signal sources in a signal adaptation layer to obtain a current event;
and sending the current event to a navigation robot, and enabling the navigation robot to execute the current event.
In a second aspect, an embodiment of the present invention further provides a parking apparatus for a traveling device, where the apparatus includes:
the signal identification module is used for identifying a current control signal received from a current signal source according to current signal source information based on signal identification rules of at least two candidate signal sources in a signal adaptation layer to obtain a current event;
and the current event sending module is used for sending the current event to the navigation robot so that the navigation robot executes the current event.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the control method of the navigation robot according to any embodiment of the present invention.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for controlling a navigation robot according to any embodiment of the present invention.
The embodiment of the invention provides a control method, a control device, electronic equipment and a storage medium of a navigation robot, wherein a current control signal received from a current signal source is identified according to current signal source information by a signal identification rule based on at least two candidate signal sources in a signal adaptation layer to obtain a current event; and sending the current event to a navigation robot, and enabling the navigation robot to execute the current event. According to the technical scheme of the embodiment of the invention, under the condition that the signal source sends the signal, the type of the signal source does not need to be concerned, and only the current event related to the signal needs to be executed, so that the navigation robot is decoupled from the signal identification, the signal identification of different signal sources by the navigation robot is avoided, and the navigation efficiency is improved.
Drawings
Fig. 1a is a control flowchart of a navigation robot according to an embodiment of the present invention;
FIG. 1b is a flow chart of a control signal response according to an embodiment of the present invention;
fig. 2 is a control flowchart of a navigation robot according to a second embodiment of the present invention;
fig. 3 is a control flowchart of a navigation robot according to a third embodiment of the present invention;
fig. 4 is a control flowchart of a navigation robot according to a fourth embodiment of the present invention;
fig. 5 is a block diagram of a control device of a navigation robot according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1a is a control flowchart of a navigation robot according to an embodiment of the present invention, and fig. 1b is a control signal response flowchart according to an embodiment of the present invention, which is applicable to a case where the navigation robot responds to signals of multiple signal sources, for example, in places such as an exhibition hall, a museum, etc., the navigation robot takes visitors to different functional areas according to business requirements and performs corresponding answering and answering. The method can be executed by the control device provided by the embodiment of the invention, and the device can be realized in a software and/or hardware manner and can be integrated on the electronic equipment.
Specifically, as shown in fig. 1a, the method for controlling a navigation robot according to an embodiment of the present invention may include the following steps:
s110, based on signal identification rules of at least two candidate signal sources in the signal adaptation layer, identifying a current control signal received from a current signal source according to current signal source information to obtain a current event.
The signal sources docked with the robot may all be candidate signal sources, and may include at least two of the following items: the Bluetooth remote control signal source, the button signal source, the electronic skin signal source, the IOT (Internet of Things) central control signal source and the screen connecting signal source. Wherein, the current event refers to an event to be executed by the robot, and may include but is not limited to: start navigation, end navigation, pause navigation, resume navigation, skip current event, skip all current events.
The signal adaptation layer is aggregated with a function of identifying different signal sources, and is used for identifying a current control signal received from a current signal source to obtain a current event. Specifically, the signal adaptation layer is provided with at least two signal identification rules of the candidate signal source, and the signal identification rule may be an association relationship between the control signal and the event, that is, the signal adaptation layer is provided with an association relationship between the candidate signal source, the control signal and the event. A candidate signal source may support multiple control signals, and events associated with different control signals may differ.
Specifically, after receiving a current control signal from a current signal source, selecting a current signal identification rule associated with the current signal source from at least two signal identification rules in a signal adaptation layer according to current signal source information; and matching the current control signal with the incidence relation between the control signal and the event in the current signal identification rule to obtain the current event associated with the current control signal.
The current signal source information may be a signal source identification ID or a signal type. Illustratively, the bluetooth remote control code value 0001 represents start navigation, 0002 represents end navigation, 0003 represents pause navigation, 0004 represents resume navigation, 0005 represents skip current event, and 0006 represents skip current all events.
The current event is obtained by aggregating the functions of identifying different signal sources in a signal adaptation layer and identifying the current control signal received from the current signal source by using the signal adaptation layer. Under the condition that multiple signal sources send signals, the types of the signal sources do not need to be concerned, and only the current events related to the signals need to be executed, so that the navigation robot is decoupled from the signal identification, the navigation robot is prevented from carrying out the signal identification on different signal sources, and the navigation efficiency is improved.
In this embodiment, the current control signals received from the signal sources of different types are uniformly identified by the signal adaptation layer, so as to obtain the current event. Preferably, according to the current signal source information, a current signal identification rule is selected from the signal identification rules of at least two candidate signal sources in the signal adaptation layer, and then, the current control signal received from the current signal source is identified based on the selected rule to obtain the current event.
For example, if the tour guide robot is explaining the functions of the current exhibits for the user in a certain exhibition hall, the user already roughly knows the functions of the exhibits at this moment, the tour guide robot does not need to explain, and the three-screen continuous clicking operation is performed on the tour guide robot. After the screen continuous-click signal source receives a screen three continuous-click control signal generated by the triggering of a user, the signal adaptation layer identifies the corresponding event as skipping the current event according to the identification rule of the screen continuous-click signal source, namely the navigation robot finishes the current explanation.
In this embodiment, optionally, if the signal adaptation layer does not have the signal identification rule of the current signal source, the user is required to configure the corresponding signal identification rule for the current signal source, and then identify the current control signal received by the current signal source to obtain the current event.
And S120, sending the current event to the navigation robot, and enabling the navigation robot to execute the current event.
In this embodiment, after the signal adaptation layer identifies the current event, the identified current event needs to be sent to the navigation robot, and after the navigation robot receives the current event, the navigation robot needs to execute the current event.
Preferably, after receiving the current event, the navigation robot may detect whether the navigation robot satisfies a trigger condition of the current event, and if the navigation robot satisfies the trigger condition, execute the current event according to the current event and the matched bottom layer operation. Illustratively, after receiving a current event sent by the signal adaptation layer, the current working state of the navigation robot is acquired, and conflicting or repeated current events are eliminated so as to prevent the navigation robot from responding to redundant events.
According to the technical scheme of the embodiment, the current control signal received from the current signal source is identified according to the current signal source information by the signal identification rule based on at least two candidate signal sources in the signal adaptation layer to obtain the current event; and sending the current event to the navigation robot so that the navigation robot executes the current event. According to the technical scheme of the embodiment of the invention, when the navigation robot responds to the signals sent by the various signal sources, the type of the signal source does not need to be concerned, and only corresponding events need to be processed, so that the problem that the navigation robot responds to the various signal sources too complicatedly is solved, and the effect of decoupling upper-layer services from specific signals is achieved.
Example two
Fig. 2 is a control flowchart of a navigation robot according to a second embodiment of the present invention, which is further optimized based on the second embodiment, and a specific description is given when the signal identification rule of the current signal source does not exist in the signal adaptation layer.
Specifically, as shown in fig. 2, the method includes:
and S210, starting.
S220, judging whether a signal identification rule of the current signal source exists in the signal adaptation layer or not according to the information of the current signal source. If yes, executing S250; if not, S230 is executed.
In this embodiment, the signal adaptation layer is formed by aggregating functions of identifying different signal sources, and identification rules of different signal sources are configured in the signal adaptation layer. In this embodiment, optionally, there is a case where the signal adaptation layer does not have the signal identification rule of the current signal source. In this case, it is important to determine whether the identification is present before the identification. Once the signal identification rule of the current signal source does not exist in the signal adaptation layer is judged in advance, corresponding measures can be taken in time for remediation.
And S230, generating the rule configuration reminding information of the current signal source.
The reminding information is used for attracting the attention of the user, and may be various expression forms such as text information, voice broadcast, video information, and the like, and the embodiment is not limited herein.
In this embodiment, if the signal adaptation layer does not have the signal identification rule of the current signal source, the rule configuration prompting information of the current signal source is generated to prompt the user that the corresponding signal identification rule needs to be configured for the current signal source. For example, a request for configuring the current signal source with the corresponding signal identification rule may be generated and then sent to the server, so as to remind the developer of completing the configuration of the current signal identification rule. Optionally, the user may be reminded through a pop-up window of the robot window, or may be reminded through a voice announcement of the robot. Exemplary could be a prompt statement such as "parent, sorry, temporarily unable to satisfy your request, try again later", "parent, i temporarily unable to complete your task, and require the programmer's father to upgrade your.
And S240, adding the signal identification rule configured for the current signal source by the user into the signal adaptation layer.
In this embodiment, if the user completes configuration of the signal identification rule corresponding to the signal source, the signal identification rule configured for the current signal source by the user is added to the signal adaptation layer, and is used to identify the current control signal received from the signal source based on the added signal identification rule, so as to obtain the current event. The advantage that sets up like this has been realized leading the decoupling zero of robot and signal identification after having increased signal adaptation layer, when adding the signal identification rule, only needs to add the signal identification rule of current configuration to the signal adaptation layer in, need not to adjust current signal identification rule after adding, has reduced the degree of difficulty that increases the signal source.
S250, selecting a current signal identification rule from the signal identification rules of at least two candidate signal sources in the signal adaptation layer.
In this embodiment, the signal adaptation layer is formed by aggregating functions of identifying different signal sources, and identification rules of different signal sources are configured in the signal adaptation layer, and the signal identification rules of different signal sources may be different. Therefore, to identify the current event, the current signal identification rule needs to be determined.
And S260, identifying the current control signal received from the current signal source based on the current signal identification rule to obtain the current event.
In this embodiment, optionally, when the current control signal received by the current signal source is identified by using the signal identification rule stored in the signal adaptation layer, the signal identification rule corresponding to the signal source may be retrieved first, the current control signal is read, the read signal is matched with the signal identification rule of the retrieved signal source, and when the current control signal is successfully matched with the signal identification rule in the rule list, the identified event may be placed in the action event list for storage to be further processed.
And S270, sending the current event to the navigation robot, and enabling the navigation robot to execute the current event.
According to the technical scheme of the embodiment, the signal identification rule matched with the current signal source is added in the signal matching layer, so that the complex problem that the configuration of the whole upper module needs to be modified when the signal source is added is solved, and the effects of simplicity and easiness in operation of adding the signal source are achieved.
EXAMPLE III
Fig. 3 is a control flowchart of a navigation robot according to a third embodiment of the present invention, where the method is further optimized based on the above-mentioned embodiments, and a specific case introduction is given to the navigation robot for sending the current event when the identified current event conflicts with the current working state. As shown in fig. 3, the method includes:
s310, based on signal identification rules of at least two candidate signal sources in the signal adaptation layer, identifying the current control signal received from the current signal source according to the current signal source information to obtain the current event.
And S320, acquiring the current working state of the navigation robot.
Wherein, the working state is a state that the navigation robot is currently executing an event, including but not limited to: start navigation, end navigation, pause navigation, resume navigation, skip current event, skip all current events.
S330, eliminating the current event which conflicts with the current working state to obtain the remaining current event.
The conflict means that the current working state is contradictory or contradictory to the current event, and the current event cannot be executed on the basis of the current working state.
In this embodiment, optionally, after the signal adaptation layer identifies the current event, it is required to detect whether the navigation robot meets the trigger condition of the current event, and determine whether the trigger condition of the current event conflicts with the current working state of the navigation robot. If the current event conflicts with the current working state of the navigation robot, the current event which conflicts with the current working state needs to be removed from the to-be-processed event list of the navigation robot.
Illustratively, the navigation robot finishes the navigation task, stops at a designated rest area of a museum, receives a control signal triggered by a user by the electronic skin signal source, and obtains the current event as suspended navigation after the control signal is identified by the signal adaptation layer. Obviously, the navigation robot has finished navigating, conflicting with pausing the navigation for the current event. At this time, the navigation-suspended event needs to be removed from the event list to be processed of the navigation robot, so as to avoid unnecessary response of the navigation robot.
And S340, sending the remaining current events to the navigation robot, and enabling the navigation robot to execute the remaining current events.
In this embodiment, the remaining current events are all current events to be processed after being subjected to the elimination processing, and do not conflict with the current working state of the navigation robot. Optionally, before each execution of a different event task, the navigation robot reads the event task in the action event list, and then executes the current event according to the current event and the matched bottom operation.
According to the technical scheme, the current event conflicting with the current working state is eliminated, the problem that the current event still needs to be responded when the working state conflicts is solved, unnecessary response of the navigation robot is avoided, and the effect of improving the working efficiency of the navigation robot is achieved.
Example four
Fig. 4 is a control flowchart of a navigation robot according to a fourth embodiment of the present invention, which is further optimized based on the foregoing embodiments, and provides a detailed description of sending a current event to the navigation robot when the identified current event is repeated. As shown in fig. 4, the method includes:
s410, based on the signal identification rules of at least two candidate signal sources in the signal adaptation layer, identifying the current control signal received from the current signal source according to the current signal source information to obtain the current event.
In the candidate signal source, the Bluetooth remote controller can be matched with the navigation robot, and then the navigation robot is controlled to finish the action. Illustratively, the bluetooth remote controller code value 0010 represents turning off the light of the navigation robot, and when the bluetooth remote controller inputs the code value 0010, the corresponding light of the navigation robot is turned off. The button signal source may be a button provided on the navigation robot. Illustratively, the scram action of the navigation robot can be realized by clicking a scram button. The electronic skin is a system which can enable a robot to generate touch sense, has simple structure, can be processed into various shapes, can be attached to the surface of equipment like clothes, and can enable the robot to sense the information such as the position, the direction, the hardness and the like of an object; the IOT is used for acquiring any object or process needing monitoring, connection and interaction in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors, laser scanners and the like, acquiring various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, positions and the like, realizing ubiquitous connection of objects, objects and people through various possible network accesses, and realizing intelligent sensing, identification and management of the objects and the processes. The IOT is an information bearer based on the internet, traditional telecommunications networks, etc., which allows all common physical objects that can be addressed independently to form an interconnected network. The screen continuous clicking is to perform multiple continuous clicking actions on the display screen of the navigation robot to complete the instruction sending for skipping the current event, wherein different continuous clicking times represent different signal types.
And S420, if at least two current events are identified, determining whether the identified at least two current events are repeated.
Here, the repetition refers to that the same event occurs at least twice within a preset time, and for example, the preset time may be 3s, 5s or 10s, which is not particularly limited in this embodiment.
And S430, if the events are repeated, sending the current event identified in advance to the navigation robot, and eliminating the current event identified in the later stage to enable the navigation robot to execute the current event identified in advance.
In this embodiment, optionally, if an event task in the current action event list is identified to be repeated within the preset time, only the previous first event record of the repeated event is retained, and all subsequent repeated events within the preset time are removed.
For example, if the navigation robot is in a suspended navigation state at present, at this time, the IOT central control signal source and the electronic skin signal source transmit 3 control signals, and the signal adaptation layer recognizes that the events corresponding to the 3 control signals are: ending the navigation, resuming the navigation and resuming the navigation, and sequentially storing the 3 events in the current action event list. At this time, if the task of the resume navigation event in the current action event list is identified to be repeated within 3s, only the previous resume navigation event is reserved, and the subsequent resume navigation event is eliminated.
According to the technical scheme, when at least two identified current events are repeated, the current events identified later are removed, so that the navigation robot executes the current event identified earlier, the problem of low efficiency of repeatedly responding the same events in a short time is solved, and the effect of improving the event response efficiency is achieved.
EXAMPLE five
The control device for the navigation robot provided by the fifth embodiment of the present invention can execute the control method for the navigation robot provided by any embodiment of the present invention, and when the navigation robot responds to signals sent by multiple signal sources, it is not necessary to care about the type of the signal source, and only needs to process corresponding events, thereby solving the problem that the navigation robot responds to multiple signal sources too complicated, and achieving the effect of decoupling the upper layer service from specific signals. As shown in fig. 5, the apparatus includes a signal recognition module 510 and a current event transmission module 520.
The signal identification module 510 is configured to identify a current control signal received from a current signal source according to current signal source information based on signal identification rules of at least two candidate signal sources in a signal adaptation layer, so as to obtain a current event; a current event sending module 520, configured to send the current event to the navigation robot, so that the navigation robot executes the current event.
According to the technical scheme, when the navigation robot responds to the signals sent by the various signal sources, the signal source types do not need to be concerned, and only corresponding events need to be processed, so that the problem that the navigation robot responds to the various signal sources too complicatedly is solved, and the effect of decoupling upper-layer services from specific signals is achieved.
Preferably, the signal identification module 510 specifically includes: an identification rule selection unit and a signal identification unit. The identification rule selection unit is used for selecting a current signal identification rule from the signal identification rules of at least two candidate signal sources in the signal adaptation layer according to the current signal source information; and the signal identification unit is used for identifying the current control signal received from the current signal source based on the current signal identification rule to obtain the current event.
Preferably, the signal identification module 510 further includes: the device comprises a reminding information generating unit and an identification rule adding unit. The reminding information generating unit is used for generating the rule configuration reminding information of the current signal source if the signal adaptation layer does not have the signal identification rule of the current signal source; and the identification rule adding unit is used for adding the signal identification rule configured by the user for the current signal source into the signal adaptation layer.
Preferably, the signal identification unit is further specifically configured to: and identifying the current control signal received by the current signal source based on the added signal identification rule to obtain the current event.
Preferably, the current event sending module 520 specifically includes: the system comprises a working state acquisition unit, a conflict event eliminating unit and a current event sending unit. The system comprises a working state acquisition unit, a navigation robot and a control unit, wherein the working state acquisition unit is used for acquiring the current working state of the navigation robot; the conflict event eliminating unit is used for eliminating a current event which conflicts with the current working state to obtain the remaining current event; and a current event transmitting unit for transmitting the remaining current events to the navigation robot.
Preferably, the current event sending module 520 further specifically includes: a repeated event determining unit and a repeated event eliminating unit. The repeated event determining unit is used for determining whether the at least two identified current events are repeated or not if the at least two identified current events are identified; and the repeated event removing unit is used for sending the current event identified in advance to the navigation robot and removing the current event identified in the later stage if the repeated event is repeated.
Preferably, the candidate signal sources include at least two of: the system comprises a Bluetooth remote controller signal source, a button signal source, an electronic skin signal source, an IOT central control signal source and a screen continuous-click signal source.
The device can execute the control method of the navigation robot provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE six
Fig. 6 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention. FIG. 6 illustrates a block diagram of an electronic device 12 suitable for use in implementing embodiments of the present invention. The electronic device 12 shown in fig. 6 is only an example and should not bring any limitation to the function and the scope of use of the embodiment of the present invention.
As shown in FIG. 6, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, and commonly referred to as a "hard drive"). Although not shown in FIG. 6, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement the control method of the navigation robot provided by the embodiment of the present invention.
EXAMPLE seven
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for controlling a navigation robot according to any embodiment of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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 document, 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.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. 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 wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as 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 type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method of controlling a navigation robot, the method comprising:
identifying a current control signal received from a current signal source according to current signal source information based on signal identification rules of at least two candidate signal sources in a signal adaptation layer to obtain a current event;
and sending the current event to a navigation robot, and enabling the navigation robot to execute the current event.
2. The method of claim 1, wherein identifying a current control signal received from a current signal source according to current signal source information based on signal identification rules of at least two candidate signal sources in a signal adaptation layer to obtain a current event comprises:
selecting a current signal identification rule from the signal identification rules of at least two candidate signal sources in the signal adaptation layer according to the current signal source information;
and identifying the current control signal received from the current signal source based on the current signal identification rule to obtain the current event.
3. The method of claim 1, wherein identifying a current control signal received from a current signal source according to current signal source information based on signal identification rules of at least two candidate signal sources in a signal adaptation layer to obtain a current event comprises:
if the signal adaptation layer does not have the signal identification rule of the current signal source, generating the rule configuration reminding information of the current signal source;
adding a signal identification rule configured for the current signal source by a user into the signal adaptation layer;
and identifying the current control signal received by the current signal source based on the added signal identification rule to obtain the current event.
4. A method according to any of claims 1-3, wherein said sending said current event to a navigation robot comprises:
acquiring the current working state of the navigation robot;
eliminating the current event which conflicts with the current working state to obtain the remaining current event;
sending the remaining current events to the navigation robot.
5. A method according to any of claims 1-3, wherein said sending said current event to a navigation robot comprises:
if at least two kinds of current events are identified, determining whether the identified at least two kinds of current events are repeated;
and if the current event is repeated, sending the previously identified current event to the navigation robot, and rejecting the subsequently identified current event.
6. The method of claim 1, wherein the candidate signal sources comprise at least two of: the system comprises a Bluetooth remote controller signal source, a button signal source, an electronic skin signal source, an IOT central control signal source and a screen continuous-click signal source.
7. A parking device for a traveling apparatus, comprising:
the signal identification module is used for identifying a current control signal received from a current signal source according to current signal source information based on signal identification rules of at least two candidate signal sources in a signal adaptation layer to obtain a current event;
and the current event sending module is used for sending the current event to the navigation robot so that the navigation robot executes the current event.
8. The apparatus of claim 7, wherein the signal identification module comprises:
the identification rule selection unit is used for selecting a current signal identification rule from the signal identification rules of at least two candidate signal sources in the signal adaptation layer according to the current signal source information;
and the signal identification unit is used for identifying the current control signal received from the current signal source based on the current signal identification rule to obtain the current event.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of controlling a navigation robot as recited in any one of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, the program, when being executed by a processor, implementing a method of controlling a navigation robot according to any one of claims 1-6.
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