KR101342827B1 - Method and system for developing, verifying and providing robot contents and application using cloud platform - Google Patents

Abstract

According to an embodiment, a method of providing robot content and an application using a cloud platform may include maintaining a database including verified applications for at least one robot and information related to the verified robot contents; Receiving information including a robot characteristic of the target robot and a hardware characteristic of the target robot from the target robot; Selecting an application and robot content corresponding to information of the target robot from a database; And providing the selected application and the robot content to the user terminal through the app store.

Description

METHOOD AND SYSTEM FOR DEVELOPING, VERIFYING AND PROVIDING ROBOT CONTENTS AND APPLICATION USING CLOUD PLATFORM}

The following embodiments relate to a method and system for developing, verifying, and providing robot content and applications using a cloud platform.

The conventional robot industry mainly focused on industrial robots, but recently, robots that perform various functions through the development of robot technology and public interest in the use of robots are increasing. However, robots have different robot characteristics such as robots with arms, robots with legs or wheels, monitors without monitors, and the like, and operating systems used by each robot and hardware features of each robot are different. In particular, the robot can be selectively used with various input / output boards, one or more processor boards, various operating systems such as Linux, Windows, real-time operating system, embedded Linux, and middleware such as ROS, OPRoS, OpenRTM, OROCOS. . Therefore, even if each robot needs or can be driven, the application and the robot contents may have different functions depending on the processor board, the operating system, the middleware, or the characteristics of the robot even if they have the same function.

In addition, even when developing applications and robot contents for various robots, verifying (or testing) whether they are suitable by downloading directly to the robots requires a lot of time and money for stable operation of the robots and setting the operation environment. For robots that require multiple processor boards and heterogeneous operating systems, it is very difficult for both application and robot content developers to purchase these robotic systems. Therefore, there is a need for a method of easily developing, verifying and providing application and robot contents by using virtual machines and heterogeneous operating systems provided by existing cloud systems. In other words, there is a need for a method for providing an optimal development and verification environment when developing applications and robot contents for a target robot, and at the same time utilizing and providing an optimal application and robot contents for a target robot.

An embodiment of the present invention may provide an optimal application and robot contents to a target robot by using the robot characteristics of the target robot and the hardware characteristics of the target robot.

An embodiment of the present invention provides an operating environment and a library for the development and verification of applications and robot contents using a cloud platform, without the actual production of processor boards operating various operating systems and middleware of the robot and Robot content can be easily developed and verified.

An embodiment of the present invention may share information with each other between different robots by storing, processing, and providing information related to other robots collected by other robots.

In addition, an embodiment of the present invention can facilitate the app store level verification by sending the application and robot content developed and verified in the cloud platform to the app store along with the verification result.

According to an embodiment, a method of developing, verifying, and providing robot contents and applications using a cloud platform may include maintaining a database including verified applications for at least one robot and information related to the verified robot contents. ; Receiving information including a robot characteristic of the target robot and a hardware characteristic of the target robot from a target robot; Selecting an application and robot content corresponding to the information of the target robot from the database; And providing the selected application and robot content to the user terminal.

Receiving application and robot content produced through an editor provided by the cloud platform; And verifying the received application and the robot content by using a verification tool and a simulator.

Storing information in the database including a verification result of the produced application and robot content, performance of the produced application and robot content, hardware characteristics related to the verified application, and robot characteristics related to the verified robot content It may further comprise a step.

The cloud platform may provide the verification tool with a library related to the produced application, and provide the simulator with an operating environment for each of the produced application and the produced content.

The selecting of the application and the robot content corresponding to the information may include selecting an application for the target robot based on hardware characteristics of the target robot, and based on the robot characteristic of the target robot, the robot for the target robot. And selecting content.

Receiving information related to the other robot from another robot or an app store separated from the target robot; And storing information related to the other robot.

The information related to the other robot may include information about a driving route of the other robot and information about the surrounding environment experienced by the other robot.

Processing information associated with the other robot; And uploading the processed information to the app store.

According to an embodiment, a system for developing, verifying, and providing a robot content and an application using a cloud platform may include an editor for producing an application and content for a target robot; Verification tool and simulator for verifying the application and the robot content produced by the editor; And a cloud platform for providing the verification tool with a library related to the produced application, and providing the simulator with an operating environment for each of the produced application and the produced content, wherein the target robot is configured to include the target robot. The selected application and the robot content are downloaded from the app store based on the robot characteristics and the hardware characteristics of the target robot.

And a database for storing information including a result of verification of the produced application and robot content, performance of the produced application and robot content, hardware characteristics related to the verified application, and robot characteristics related to the verified robot content. It may include.

The cloud platform may select an application and robot content corresponding to the information of the target robot from the database.

The cloud platform may select an application for the target robot based on the hardware characteristics of the target robot, and select the robot content for the target robot based on the characteristics of the target robot.

The cloud platform may provide the verification tool with a library related to the produced application, and provide the simulator with an operating environment for each of the produced application and the produced content.

The cloud platform may store information related to the other robot received from another robot distinguished from the target robot.

The information related to the other robot may include information about a driving route of the other robot and information about the surrounding environment experienced by the other robot.

The cloud platform may process the information related to the other robot and upload it to the app store.

According to an embodiment of the present disclosure, the application and robot contents corresponding to the robot characteristics of the target robot and the hardware characteristics of the target robot may be selected and provided to provide the optimum application and the robot contents to the target robot.

According to an embodiment, the cloud platform provides an operating environment and a library for verifying applications and robot contents, so that each robot can easily verify the produced application and robot contents without having a large memory or a processor. have.

In addition, according to an embodiment, the cloud platform may share information between different robots by storing, processing, and providing information about a driving route and surrounding environment collected by other robots.

1 is a diagram illustrating a (robot) cloud platform according to an embodiment.
2 is a diagram illustrating a system environment in which a method for developing, verifying, and providing a robot content and an application using a cloud platform is implemented.
3 is a flowchart illustrating a method of developing, verifying, and providing a robot content and an application using a cloud platform according to an exemplary embodiment.
4 is a flowchart illustrating a process of performing verification in a method of developing, verifying, and providing a robot content and an application using a cloud platform according to an exemplary embodiment.
FIG. 5 is a view showing information collected by other robots and target robots from an app store, a cloud platform, a server, or a robot in a method of developing, verifying, and providing robot contents and applications using a cloud platform according to an embodiment; This is a flowchart showing the process of providing to a store, cloud platform, server, or robot.
6 is a block diagram of a system for developing, verifying and providing robot content and applications using a cloud platform according to an embodiment.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. Also, like reference numerals in the drawings denote like elements.

1 is a diagram illustrating a (robot) cloud platform according to an embodiment.

The (robot) cloud platform corresponds to a cloud application in a general cloud platform, and provides a platform service as a cloud service.

According to an embodiment, a user may develop, verify, and provide robot content and an application through a cloud platform service. In addition, a user may provide a service API (Application Programming Interface) that can increase portability by developing contents and applications using middleware such as ROS, OPRoS, and RTM provided by a cloud platform service.

That is, when a content or an application is developed using a service API, software may operate regardless of the kind of middleware, thereby providing a lot of convenience. In addition, the developed content or application software can operate using cloud platform services.

After all, even if the content or application S / W utilizes one or more middlewares, the cloud platform service enables interoperability by allowing related middlewares to operate using virtual resources of the general cloud platform.

If you do not use the cloud service platform as in one embodiment, it is not only time-consuming and expensive because you actually need to configure H / W, and also provide a device API so that various middlewares can easily use various H / W. do.

Here, the device API is an API for controlling the actual hardware of the robot or the virtual hardware of the simulation. This device API allows applications to control hardware or utilize simulation without changing source code, and cloud platform services can also provide bridge functions for data exchange between middleware.

Through this bridge function, the cloud platform service transmits the state between middleware or data generated from the middleware to other middleware so that the related application software operates properly. In addition, cloud platform service helps to develop embedded S / W by utilizing provided H / W module and virtual H / W module. This makes it easy for users to develop embedded applications.

In addition, cloud platform services can provide development tools to easily develop application software of ROS, OPRoS, and openRTM, and can also provide service development tools to easily develop content and service application software. The developed contents and application software can be verified through simulation and environment models provided by the cloud service platform, and can also be downloaded and verified on the real robot system connected to the real cloud service platform.

2 is a diagram illustrating a system environment in which a method for developing, verifying, and providing a robot content and an application using a cloud platform is implemented.

Referring to FIG. 2, a system in which a method for developing, verifying, and providing robot contents and applications using a cloud platform according to an embodiment is implemented may include an editor 210 and a cloud platform 220. , Verification tool and simulator 230, target robot 240, app store 250, and other robots 260.

The editor 210 is an editor provided by the cloud platform 220. The editor 210 edits, compiles and links an application (or component) and robot content edited by the user using the editor 210. ) The editor 210 provides the verification tool and the simulator 230 with the application (or component) and the robot content, which are manufactured for verification of the result.

The cloud platform 220 may provide the test and verification tool 233 with a library related to the produced application, and provide the simulator 236 with an operating environment for each of the produced application and the produced content. . In particular, when verifying through the simulator 236, the cloud platform 220 is a virtual hardware module and operating environment of the robot (for example, whether the processor board, operating system, middleware, etc.) and various environmental models By verifying the operation of the application, such as by providing, the simulator 236 may be provided with information on the limits of the application.

For example, if the produced application is an operating system of any one of Linux, Windows, and a real-time operating system, the cloud platform 220 may provide a related library and an operating environment required for executing the application in the corresponding operating system. .

Here, the application may be used as a generic name for the S / W module operating in the robot.

In addition, the cloud platform 220 is a robot when the robot content is operating in a mixed environment, such as Linux, Windows, real-time operating system, or Linux + Windows, Windows + real-time operating system, ..., Linux + Windows + real-time operating system, etc. An operation environment for verifying the operation of the content may be provided. In addition, middleware such as ROS, OPRoS, and openRTM may operate in Linux and Windows, and middleware such as OPRoS, openRTM, and OROCOS may operate in a real-time operating system. Given this association, a great many combinations can be created.

The cloud platform 220 may directly request information from the target robot 240 to receive information including the robot characteristics and hardware characteristics of the target robot directly from the target robot 240.

The verification tool and simulator 230 may verify the application (or component) and robot content produced by the editor 210. Verification tool and simulator 230 may include test and verification tool 233 and simulator 236. The test and verification tool 233 tests and verifies whether the application (or component) produced by the editor 220 and the robot content itself operate normally. The simulator 236 verifies whether the produced application (or component) and robotic content operate correctly in a given specific environment. In fact, even the same application may or may not be normally driven by the operating system, hardware characteristics, or robot characteristics.

The verification tool and simulator 230 may provide the verified application (or component) and robot content to the cloud platform 220.

In addition, the verification tool and simulator 230 includes verification results of the produced application and the robot content, performance of the produced application and the robot content, hardware characteristics related to the verified application, and robot characteristics related to the verified robot content. Information can be provided. Accordingly, the cloud platform 220 may store the above information in a database.

By providing the verification result, performance, hardware characteristics, and robot characteristics together with the verification tool and simulator 230, the user can download necessary robot contents or applications according to the hardware characteristics and robot characteristics of the robot to be used (manufactured). You can create components or content. Of course, new components and contents produced may be uploaded to the cloud platform 220 after being verified by the verification tool and simulator 230 again.

In the cloud platform 220 according to an embodiment, not only the operating system but also middleware (for example, ROS, OPRoS, OpenRTM, OROCOS) used by the robot when the application or the robot content is produced through the editor 210. You can choose more than one combination. The verification tool and the simulator 230 may verify an application or content produced by the middleware selected in combination.

As such, when the cloud platform 220 is used, various applications and robot contents may be developed at low cost, and various applications and robot contents may be developed by combining all existing middleware.

In addition, the application or robot content developed in the cloud platform 220 may be verified by the verification tool and the simulator 230, and then downloaded to the actual target robot and verified. Through this verification, it is possible to grasp the results of the actual performance and stability of the application or robot content for the target robot. Here, if necessary, the target robot may directly upload the application or robot contents and the verification result to the cloud platform 220.

In addition, the target robot 240 may download the necessary application and robot content directly from the cloud platform 220.

That is, if the information on the target robot 240 is not clear, the cloud platform 220 may request a corresponding information from the actual target robot 240, upload and use the information, and develop new applications and robot contents.

In this case, the editor 210 or the verification tool and the simulator 230 may be included in the cloud platform 120 as shown in FIG. 1, or may be configured separately from the cloud platform 220 as shown in FIG. 2.

When the target robot 240 transmits information including robot characteristics and hardware characteristics of the target robot 240, the cloud platform 220 may transmit an application and robot content corresponding to the corresponding information of the target robot 240 from a database or the like. ) May be selected and provided to the target robot 240 through the app store 250.

Here, the 'robot characteristics' of the target robot 240 is, for example, whether the target robot 240 is a robot with only a monitor or a robot with wheels and arms but no legs, or a robot with only a monitor. Characteristics related to the structure or configuration of the target robot 240 is a robot that can operate in the Windows operating system, Linux and Windows can be operated at the same time the number of processor boards, the type of operating system and middleware operating on the processor board It refers to the characteristics of the operating system, such as the function and configuration of the applications currently being used and the collection of contents.

In addition, the 'hardware characteristic' of the target robot 240 is, for example, how much the arm tension of the target robot, how much the rotation angle of the robot arm, the performance of the provided processor board and the capacity of the memory, etc. Hardware that configures the target robot, such as the type of input / output module (e.g., the number and size of mobile motors, the number and size of operating motors, the type and size of cameras, the number and size of laser / ultrasonic / infrared sensors, etc.) Each characteristic means.

The app store 250 may provide various applications and robot contents related to the robot. The app store 250 may also exchange and trade applications and robot contents required by each robot. The app store 250 may receive various application and robot contents from the cloud platform 220.

The other robots 260 may provide the cloud platform 220 with information related to other robots, such as information about a surrounding environment and a driving route that they have experienced. The cloud platform 220 may process information provided by the other robots 260 and provide it to the target robot 240 or other robots through the app store 250 or directly.

3 is a flowchart illustrating a method of developing, verifying, and providing a robot content and an application using a cloud platform according to an exemplary embodiment.

Referring to FIG. 3, the cloud platform maintains 310 a database containing information related to verified applications and verified robot content for at least one robot.

The cloud platform receives the information including the robot characteristics of the target robot and the hardware characteristics of the target robot from the target robot (320).

The cloud platform may determine whether an application and robot content corresponding to the information of the target robot exist in the database (330).

If there is an application and robot content corresponding to the information of the target robot in the database at 330, the cloud platform stores information on the corresponding information of the target robot (in this case, information including the robot characteristic of the target robot and the hardware characteristic of the target robot) from the database. The corresponding application and robot content are selected (340). In this case, the cloud platform may select an application for the target robot based on the hardware characteristics of the target robot, and select the robot content for the target robot based on the robot characteristics of the target robot.

On the other hand, if there is no application and robot content corresponding to the information of the target robot in the database at 330, the cloud platform selects a portion of the required application and robot content from the database (350). Thereafter, the cloud platform uses an editor to develop an application and robot content corresponding to the information of the target robot, which does not exist in the database (360).

Thereafter, the cloud platform verifies the application and robot content selected in 340 or 360 in the cloud platform using operating environment and various surrounding environment information (370).

The cloud platform determines whether the verification is completed (380), and if the verification is completed (OK), and provides the selected application and robot content to the target robot through the app store (390). On the other hand, if the verification is not complete at 380, the cloud platform goes to 350 and selects some of the necessary application and robot content again.

4 is a flowchart illustrating a process of performing verification in a method of developing, verifying, and providing a robot content and an application using a cloud platform according to an exemplary embodiment.

The cloud platform receives an application and robot content provided through an editor provided by the cloud platform or provided by an app store or the like (410). In step 410, the newly created application and the content may be verified or the existing application and the content may be verified using the produced application and the robot content, the app store, or the application stored by the developer.

The cloud platform develops and reprocesses new applications and contents through an editor so as to utilize the provided applications and robot contents in the target robot (420).

The cloud platform determines whether to verify the reprocessed application and robot content using a verification tool and a simulator (430).

If it is determined at 430, the cloud platform verifies the reprocessed application and content using various operating environments and surroundings provided based on the verification tool and the simulator (440). On the other hand, if it is determined that no verification is required at 430, the cloud platform immediately performs operation of 450.

In this case, the cloud platform may provide the verification tool with a library related to the produced application, and provide the simulator with an operating environment for each of the produced application and the produced content.

In particular, when verifying through a simulator, the cloud platform may provide various environment models to verify the operation of an application and the like, and may receive information about the limitations of the application from the simulator.

For example, if the produced application is an operating system of Linux, Windows, or a real-time operating system, the cloud platform may provide a related library and an operating environment for running the application on the operating system.

In addition, the cloud platform can be used when the robot content operates in a mixed environment such as Linux, Windows, real-time operating system, or Linux + Windows, Windows + real-time operating system, ..., Linux + Windows + real-time operating system. It can provide an operating environment that can verify the operation.

The cloud platform stores information in the database, including whether or not the reprocessed application and robot content have been verified, the verification results, the performance of the produced application and robot content, hardware characteristics related to the verified application, and robot characteristics related to the verified robot content. (450).

Thereafter, when the verification is completed, the cloud platform ends the operation, and if it is determined that the verification is still necessary, the cloud platform goes to 420 and repeats the subsequent operation.

FIG. 5 is a diagram illustrating a method for providing robot contents and applications using a cloud platform according to an embodiment, wherein information collected by other robots and target robots is provided from an app store, a cloud platform, a server, or a robot, or an app store or a cloud platform , A flowchart showing the process of providing a server or robot.

The cloud platform receives 510 information related to another robot or information stored by a past target robot from another robot distinguished from the target robot, and then stores the received information.

Here, the information related to another robot or the information stored by the target robot in the past may include information about the driving path of the related robot, information about the surrounding environment experienced by the related robot, recognized object information, and recognized person / face information. It may include.

Thereafter, the cloud platform processes the information received at 510 by an editor provided by the cloud platform (520).

The cloud platform verifies 530 through the simulation using the processed information and then verifies the verification result (540).

If it is determined in 540 that the verification result is successful, the cloud platform may upload the processed information to the app store or store it in the cloud platform itself (550). On the other hand, if it is determined that the verification result is not successful at 540, the cloud platform may go to 520 and perform operations 520 and subsequent.

For example, if any robot X operates in area A and acquires information related to robot X for area A, the robot X sends the information to the cloud platform (or its own area or related robot group assigned within the cloud platform). ) Can be stored. In addition, when the robot X operates in the B area and also obtains information related to the robot X for the B area, the robot X may also store the information in the cloud platform.

The area A from which the robot obtains information may include a room, a certain area of a street, a building, a home, or any other place.

In this case, the information related to the robot X may include information about the surrounding environment experienced by the robot X and information about a driving route of the robot X in the corresponding area. Here, the information about the surrounding environment includes the structure of the room, house, building, etc. (for example, a-shaped building, or c-shaped house, etc.) experienced by the robot X, and locations of objects stored in the area. (For example, the position of a bed, a bookcase, a desk, a chair, a table, a window outlet, a position of a vase, a TV, etc.) is mentioned.

In addition, the information on the driving route of the robot X means information on the routes that the robot X has traveled (used) in the corresponding area to perform services.

In this case, if another robot Y operates in the area A, the robot Y may obtain and use information on the area A stored in the cloud platform. Accordingly, the robot Y can acquire various information about the area A in a short time.

In general, most robots spend a lot of time, processor capacity, and power in storing driving information of a certain area in their memory or determining a driving route by a processor. However, according to an embodiment, since the information on the driving route obtained by the other robot and the information about the surrounding environment experienced by the other robot can be directly received from the cloud platform, these problems can be easily solved. .

In addition, in most cases, since the robot stores information on the driving route and information on the surrounding environment, etc., it is difficult to use the information stored in the robot when the robot fails. However, in one embodiment, a variety of information stored by the local robot is stored in the cloud platform, the cloud platform to edit and process the information according to the use so that other robots can be used conveniently later.

As such, the cloud platform utilizes huge storage space to store the information necessary for robots, edit the information, process it into new forms of information (environmental model and optimal travel path), or store it and upload it to the App Store. You can make it convenient to use.

According to an embodiment, the robot that needs the information may purchase the relevant information through an app store or the like, and modify the information to suit its own user through an editor provided by the cloud platform or the cloud platform.

6 is a block diagram of a system for developing, verifying and providing robot content and applications using a cloud platform according to an embodiment.

Referring to FIG. 6, a system 600 according to an embodiment may include an editor 610, a verification tool and simulator 620, a cloud platform 630, and a database 640.

The editor 610 is for producing an application and content for a target robot and may be provided by the cloud platform 630. The editor 610 may edit, compile, and link an application and content for the target robot. The editor 610 may deliver the performed result directly to the cloud platform 630.

The verification tool and the simulator 620 verify the application and robot content produced by the editor 610.

The cloud platform 630 provides the verification tool 620 with a library related to the produced application, and provides the simulator 620 with an operating environment for each of the produced application and the produced content.

The cloud platform 630 may select an application and robot content corresponding to the corresponding information of the target robot from the database.

More specifically, the cloud platform 630 may select an application for the target robot based on the hardware characteristics of the target robot, and select the robot content for the target robot based on the characteristics of the target robot.

The cloud platform 630 may provide the verification tool 620 with a library related to the produced application, and provide the simulator 620 with an operating environment for each of the produced application and the produced content.

Accordingly, the target robot may download an application and robot content selected by the cloud platform 630 from the app store based on the robot characteristics of the target robot and the hardware characteristics of the target robot.

The cloud platform 630 may store information related to another robot received from another robot distinguished from the target robot from the database 640 or the like. Here, the information related to the other robot may include information about the driving route of the other robot and information about the surrounding environment experienced by the other robot.

The cloud platform 630 may process information related to another robot and upload it to the app store.

The database 640 includes the verification results of the verification tool and the simulator 620 for the application and the robot content produced by the editor 610, the performance of the produced application and the robot content, the hardware characteristics related to the verified application, and the verified robot. Information including robot characteristics related to the content may be stored.

The above-described methods may be embodied in the form of program instructions that can be executed by various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

While the invention has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. This is possible.

Therefore, the scope of the present invention should not be construed as being limited to the embodiments described, but should be determined by equivalents to the appended claims, as well as the appended claims.

210: Editor
220: cloud platform
230: Validation Tool and Simulator
240: target robot
250: App Store
260: other robots

Claims (16)

Maintaining a database containing verified applications for at least one robot and verified robot content;
Receiving information including a robot characteristic of the target robot and a hardware characteristic of the target robot from a target robot;
Selecting an application and robot content corresponding to the information of the target robot from the database; And
Providing the selected application and robot content to a user terminal;
Method for developing, verifying and providing robot content and applications using a cloud platform comprising a. The method of claim 1,
Receiving application and robot content produced through an editor provided by the cloud platform; And
Verifying the received application and robot content using a verification tool and a simulator
Method for developing, verifying and providing robot content and applications using a cloud platform further comprising. 3. The method of claim 2,
Storing information in the database including a verification result of the produced application and robot content, performance of the produced application and robot content, hardware characteristics related to the verified application, and robot characteristics related to the verified robot content step
Method for developing, verifying and providing robot content and applications using a cloud platform further comprising. 3. The method of claim 2,
The cloud platform,
Providing the verification tool with a library associated with the produced application and providing the simulator with an operating environment for each of the produced application and the produced content
How to develop, verify and deliver robotic content and applications using cloud platforms. The method of claim 1,
Selecting the application and the robot content corresponding to the information,
Selecting an application for the target robot based on the hardware characteristics of the target robot; And
Selecting robot content for the target robot based on the robot characteristic of the target robot;
Method for developing, verifying and providing robot content and applications using a cloud platform comprising a. The method of claim 1,
Receiving information related to the other robot from another robot or an app store separated from the target robot; And
Storing information related to the other robot
Method for developing, verifying and providing robot content and applications using a cloud platform further comprising. The method according to claim 6,
Information related to the other robot,
And information about the driving route of the other robot and the surrounding environment experienced by the other robot.
How to develop, verify and deliver robotic content and applications using cloud platforms. The method according to claim 6,
Processing information associated with the other robot; And
Uploading the processed information to the app store
Method for developing, verifying and providing robot content and applications using a cloud platform further comprising. An editor for producing an application and content for a target robot;
Verification tool and simulator for verifying the application and the robot content produced by the editor; And
A cloud platform that provides the verification tool with a library associated with the produced application and provides the simulator with an operating environment for each of the produced application and the produced content.
/ RTI >
The target robot
Downloading the selected application and robot contents from an app store based on the robot characteristics of the target robot and the hardware characteristics of the target robot;
A system for developing, verifying, and providing robotic content and applications using cloud platforms. 10. The method of claim 9,
A database storing information including a verification result of the produced application and robot content, performance of the produced application and robot content, hardware characteristics related to the verified application, and robot characteristics related to the verified robot content
System for developing, verifying and providing robot content and applications using a cloud platform further comprising. The method of claim 10,
The cloud platform,
Selecting an application and robot content corresponding to the information of the target robot from the database;
A system for developing, verifying, and providing robotic content and applications using cloud platforms. 10. The method of claim 9,
The cloud platform,
Selecting an application for the target robot based on hardware characteristics of the target robot, and selecting robot content for the target robot based on the characteristics of the target robot;
A system for developing, verifying, and providing robotic content and applications using cloud platforms. 10. The method of claim 9,
The cloud platform,
Providing the verification tool with a library associated with the produced application and providing the simulator with an operating environment for each of the produced application and the produced content
A system for developing, verifying, and providing robotic content and applications using cloud platforms. 10. The method of claim 9,
The cloud platform,
Storing information related to the other robot received from another robot distinguished from the target robot;
A system for developing, verifying, and providing robotic content and applications using cloud platforms. 15. The method of claim 14,
Information related to the other robot,
And information about the driving route of the other robot and the surrounding environment experienced by the other robot.
A system for developing, verifying, and providing robotic content and applications using cloud platforms. 15. The method of claim 14,
The cloud platform,
Processing information related to the other robots and uploading the information to the app store
A system for developing, verifying, and providing robotic content and applications using cloud platforms.

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