CN112598940A - Artificial intelligence application learning development platform - Google Patents
Artificial intelligence application learning development platform Download PDFInfo
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- CN112598940A CN112598940A CN202011230818.4A CN202011230818A CN112598940A CN 112598940 A CN112598940 A CN 112598940A CN 202011230818 A CN202011230818 A CN 202011230818A CN 112598940 A CN112598940 A CN 112598940A
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- 238000011161 development Methods 0.000 title claims abstract description 21
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 17
- 238000004891 communication Methods 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 16
- 230000007246 mechanism Effects 0.000 claims description 4
- 230000003993 interaction Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
- G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B25/00—Models for purposes not provided for in G09B23/00, e.g. full-sized devices for demonstration purposes
- G09B25/02—Models for purposes not provided for in G09B23/00, e.g. full-sized devices for demonstration purposes of industrial processes; of machinery
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Abstract
The invention discloses an artificial intelligence application learning development platform, and belongs to the technical field of online application learning development platforms. The robot comprises a central processing unit of the robot, and a remote learning module, a voice recognition module, an image recognition module, an autonomous navigation module and a mechanical arm grabbing module which are connected with the central processing unit for communication. The robot is connected with the server, the server is communicated with the user through the network, the robot can be remotely operated and designed by the user, the robot can be directly developed on the robot, complex system setting is avoided, development of complex applications including mobile navigation, image vision, voice interaction, arms and the like can be achieved on the same platform, and the robot is simpler and more friendly to beginners.
Description
Technical Field
The invention relates to an artificial intelligence application learning development platform, and belongs to the technical field of online application learning development platforms.
Background
The existing artificial intelligence technology such as voice recognition, image processing, automatic navigation, mechanical arm application and the like is relatively mature, and the existing education platform mainly aims at learning of cultural lessons and programming education. The existing artificial intelligence education system is only simple artificial intelligence application and has no development environment. The platform with the development environment mainly aims at the practitioners, has higher professional threshold for common beginner users, has high requirement on professional basic knowledge, and is not suitable for beginners and children of low ages. Therefore, the artificial intelligence application learning development platform integrates a complex system into an education platform, a user can remotely operate and design the platform, the platform can be directly developed on a robot, complex system setting is avoided, and development of complex applications including mobile navigation, image vision, voice interaction, arms and the like can be realized on the same platform.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the artificial intelligence application learning development platform solves the problems that the existing software development platform has high requirements on professional bases and is not suitable for beginners.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
an artificial intelligence application learning development platform comprises a central processing unit of a robot, a remote learning module, a voice recognition module, an image recognition module, an autonomous navigation module and a mechanical arm grabbing module, wherein the remote learning module, the voice recognition module, the image recognition module, the autonomous navigation module and the mechanical arm grabbing module are connected and communicated with the central processing unit.
As a preferred example, the remote learning module includes a network communication module and a server, the server communicates with a remote user through the network communication module, and the server communicates with the central processing unit of the robot through the network communication module.
As a preferred example, the speech recognition module includes a microphone in communication with a central processor.
As a preferred example, the image recognition module includes a camera in communication with a central processor.
As a preferred example, the autonomous navigation module includes a travel mechanism and a positioning sensor in communication with a central processor.
As a preferred example, the robotic arm grasping module includes a multi-joint robot in communication with a central processor.
The invention has the beneficial effects that: the robot is connected with the server, the server is communicated with the user through the network, the robot can be remotely operated and designed by the user, the robot can be directly developed on the robot, complex system setting is avoided, development of complex applications including mobile navigation, image vision, voice interaction, arms and the like can be achieved on the same platform, and the robot is simpler and more friendly to beginners.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram illustrating the operation of the remote learning module according to the present invention;
FIG. 3 is a schematic diagram illustrating the operation steps of the speech recognition module according to the present invention;
FIG. 4 is a schematic diagram illustrating the operation steps of the image recognition module according to the present invention;
FIG. 5 is a schematic diagram illustrating the operation steps of the autonomous navigation module according to the present invention;
fig. 6 is a schematic diagram of the operation steps of the robot gripping module of the present invention.
Detailed Description
In order to make the technical means, the original characteristics, the achieved purpose and the efficacy of the invention easy to understand, the invention is further described with reference to the specific drawings.
As shown in fig. 1, an artificial intelligence application learning development platform includes a central processing unit of a robot, and a remote learning module, a voice recognition module, an image recognition module, an autonomous navigation module, and a robot arm grasping module, which are connected to and communicate with the central processing unit.
The remote learning module comprises a network communication module and a server, the server is communicated with a remote user through the network communication module, and the server is communicated with a central processing unit of the robot through the network communication module.
The voice recognition module comprises a microphone which is communicated with the central processing unit.
The image recognition module comprises a camera communicated with the central processing unit.
The autonomous navigation module comprises a walking mechanism and a positioning sensor which are communicated with the central processing unit. The running mechanism adopts a wheel type chassis, and the positioning sensor adopts a laser scanning positioning device (indoor), a GPS and a base station positioning device (outdoor).
The mechanical arm grabbing module comprises a multi-joint mechanical arm communicated with the central processing unit. The multi-joint manipulator adopts an anthropomorphic multi-joint arm and a multi-joint palm structure.
Typical application scenarios and execution steps:
application scenarios: beginners use the platform to learn and develop artificial intelligence application.
The operation steps are as follows:
(1) as shown in the steps of fig. 2, the video learning is performed on the website through the remote learning platform, and the relevant job is submitted to grasp the basic knowledge.
(2) As shown in fig. 3, the voice recognition is implemented by collecting voice through a microphone of the robot, and the computer processor enables students to know how to implement off-line voice recognition and on-line voice recognition such as hundredths, news and the like through the existing technology.
(3) As shown in fig. 4, in the image recognition, a camera carried by the robot is used to capture a picture, and a computer is used to process the image, so that students can know how to perform operations related to face recognition, color recognition, object tracking, and the like through software such as opencv.
(4) As shown in fig. 5, autonomous navigation is to build a map by the laser radar of the robot itself, and then perform virtual navigation or rviz autonomous navigation by gazebo software.
(5) As shown in fig. 6, the self-contained depth camera can be used to perform open-loop or closed-loop grabbing by the self-contained mechanical arm of the robot.
The robot is connected with the server, the server is communicated with the user through the network, the robot can be remotely operated and designed by the user, the robot can be directly developed on the robot, complex system setting is avoided, development of complex applications including mobile navigation, image vision, voice interaction, arms and the like can be achieved on the same platform, and the robot is simpler and more friendly to beginners.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. The artificial intelligence application learning development platform is characterized by comprising a central processing unit of a robot, a remote learning module, a voice recognition module, an image recognition module, an autonomous navigation module and a mechanical arm grabbing module, wherein the remote learning module, the voice recognition module, the image recognition module, the autonomous navigation module and the mechanical arm grabbing module are connected and communicated with the central processing unit.
2. The artificial intelligence application learning development platform of claim 1, wherein the remote learning module comprises a network communication module and a server, the server communicates with a remote user through the network communication module, and the server communicates with a central processing unit of the robot through the network communication module.
3. The artificial intelligence application learning development platform of claim 1, wherein the speech recognition module comprises a microphone in communication with a central processor.
4. The artificial intelligence application learning development platform of claim 1, wherein the image recognition module comprises a camera in communication with a central processor.
5. The artificial intelligence application learning development platform of claim 1, wherein the autonomous navigation module comprises a walking mechanism and a positioning sensor in communication with a central processor.
6. The platform of claim 1, wherein the robotic grasping module comprises a multi-joint robot in communication with a central processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011230818.4A CN112598940A (en) | 2020-11-06 | 2020-11-06 | Artificial intelligence application learning development platform |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011230818.4A CN112598940A (en) | 2020-11-06 | 2020-11-06 | Artificial intelligence application learning development platform |
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| Publication Number | Publication Date |
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| CN112598940A true CN112598940A (en) | 2021-04-02 |
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| CN202011230818.4A Pending CN112598940A (en) | 2020-11-06 | 2020-11-06 | Artificial intelligence application learning development platform |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101373380A (en) * | 2008-07-14 | 2009-02-25 | 浙江大学 | A humanoid robot control system and robot manipulation method |
| CN108297098A (en) * | 2018-01-23 | 2018-07-20 | 上海大学 | The robot control system and method for artificial intelligence driving |
| CN108416268A (en) * | 2018-02-02 | 2018-08-17 | 华侨大学 | A kind of action identification method based on dual robot Visual Communication |
| CN109571513A (en) * | 2018-12-15 | 2019-04-05 | 华南理工大学 | A kind of mobile crawl service robot system of immersion |
| CN109822596A (en) * | 2019-04-02 | 2019-05-31 | 成都信息工程大学 | A service robot and its control system |
| CN110216689A (en) * | 2019-05-24 | 2019-09-10 | 嘉兴市木星机器人科技有限公司 | A kind of programmable artificial intelligence robot of education |
-
2020
- 2020-11-06 CN CN202011230818.4A patent/CN112598940A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101373380A (en) * | 2008-07-14 | 2009-02-25 | 浙江大学 | A humanoid robot control system and robot manipulation method |
| CN108297098A (en) * | 2018-01-23 | 2018-07-20 | 上海大学 | The robot control system and method for artificial intelligence driving |
| CN108416268A (en) * | 2018-02-02 | 2018-08-17 | 华侨大学 | A kind of action identification method based on dual robot Visual Communication |
| CN109571513A (en) * | 2018-12-15 | 2019-04-05 | 华南理工大学 | A kind of mobile crawl service robot system of immersion |
| CN109822596A (en) * | 2019-04-02 | 2019-05-31 | 成都信息工程大学 | A service robot and its control system |
| CN110216689A (en) * | 2019-05-24 | 2019-09-10 | 嘉兴市木星机器人科技有限公司 | A kind of programmable artificial intelligence robot of education |
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Application publication date: 20210402 |
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