Artificial intelligence teaching innovation platform

Abstract

The utility model provides an artificial intelligence teaching innovation platform, relates to the robot training equipment field, and comprises a practical training platform, a mechanical arm mechanism and a main control unit, the mechanical arm mechanism comprises a mechanical arm, an end effector and a visual camera unit, the patent adopts a one-to-one high fidelity industrial scene reproduction technology, and the one-to-one high fidelity industrial scene reproduction is realized. Multiple frontier applications in the field of artificial intelligence are integrated, immersive learning experience is created for students, newest application examples of the artificial intelligence technology are efficiently learned, and fusion of theoretical knowledge and practical skills is accelerated; the patent can assist students to integrate the latest technology of industry development into the robot, and implement a new generation of "artificial intelligence + robot" development strategy plan, so that the students can understand the essence of the artificial intelligence and robot technology more deeply, the learning enthusiasm is stimulated, the level of teacher teams is also improved, and the development efficiency is improved. And an effective platform for promoting artificial intelligence application scene development and demonstration promotion is provided.

Description

Technical Field

[0001] The utility model relates to the field of robot training equipment, in particular to an artificial intelligence teaching innovation platform. Background Art

[0002] The artificial intelligence teaching and training system is becoming a major innovation tool in the field of education. By providing personalized learning support, intelligent assessment, and timely feedback, it greatly enriches the teaching and learning process. The application of the artificial intelligence teaching and training system in modern education is becoming more and more extensive. Such a system not only changes the traditional teaching mode, but also provides more possibilities and conveniences for teachers and students.

[0003] Intelligent robot training and teaching refer to the process of imparting knowledge and skills related to intelligent robots through professional curriculum design and implementation, so as to cultivate learners' abilities to understand, design, apply, and innovate intelligent robots. The training and teaching of intelligent robots is a systematic, multi-level, and highly practical process that requires a combination of theoretical learning and practical operation, and continuous updating of teaching content to adapt to the rapidly developing technological trends. Through such training and teaching, more intelligent robot professionals with comprehensive abilities can be cultivated for society. However, the current research on artificial intelligence teaching systems is still in its infancy, and such function-rich composite training systems are relatively lacking. Therefore, how to provide a training system with rich functions and the ability to improve students' "artificial intelligence + robot" capabilities has become an urgent problem for those skilled in the art. Content of the Utility Model

[0004] The technical problem to be solved by the utility model is to overcome the deficiencies in the prior art and provide an artificial intelligence teaching innovation platform. This patent adopts a one-to-one high-fidelity industrial scenario reproduction technology, integrates a number of cutting-edge applications in the field of artificial intelligence, creates an immersive learning experience for students, enables them to efficiently learn the latest application examples of artificial intelligence technology, and accelerates the integration of theoretical knowledge and practical skills.

[0005] The utility model is realized through the following technical solutions:

[0006] An artificial intelligence teaching innovation platform includes a training table, a robotic arm mechanism, and a main control unit. The robotic arm mechanism is arranged on the training table. The robotic arm mechanism includes a robotic arm, an end effector, and a vision camera unit. The fixed end of the robotic arm is fixedly connected to the training table, the free end of the robotic arm is fixedly connected to the end effector, the end effector holds a training model, the vision camera unit is arranged at the free end of the robotic arm, and the vision camera unit is used to collect information of the training model and the training table. The main control unit is signal-connected to the robotic arm, the end effector, and the vision camera unit of the robotic arm mechanism through a communication module.

[0007] It can be seen that in the above technical solution, this patent includes a training platform, a robotic arm mechanism, and a main control unit. The robotic arm mechanism includes a robotic arm, an end effector, and a vision camera unit. It adopts a one-to-one high-fidelity industrial scenario reproduction technology, integrates a number of cutting-edge applications in the field of artificial intelligence, creates an immersive learning experience for students, enables them to efficiently learn the latest application examples of artificial intelligence technology, and accelerates the integration of theoretical knowledge and practical skills. This patent can assist students in integrating the latest technologies in the industry into robots, not only enabling students to more deeply understand the essence of artificial intelligence and robotics technology, stimulating their learning enthusiasm, but also being an effective platform for improving the level of the teaching staff, promoting the development and demonstration of artificial intelligence application scenarios.

[0008] According to the above technical solution, preferably, the training model includes a chessboard unit detachably connected to the training platform, and the chessboard unit is connected to the training platform through a quick-release unit.

[0009] It can be seen that in the above technical solution, the chessboard unit is connected to the training platform through a quick-release unit, which facilitates the staff to quickly replace different training models and improves the training diversity of the training system.

[0010] According to the above technical solution, preferably, the end effector includes an electric gripper with a two-finger structure. A pressure sensor is provided inside the electric gripper, and the pressure sensor is signal-connected to the main control unit.

[0011] According to the above technical solution, preferably, the end effector includes a suction cup unit. The suction cup unit is signal-connected to the main control unit, and the suction cup unit is used for negative pressure adsorption of chess pieces.

[0012] It can be seen that in the above technical solution, the electric gripper is used to grasp the training model, and the pressure sensor can set different pressure thresholds, which facilitates the user to grasp training models of different hardness.

[0013] According to the above technical solution, preferably, the robotic arm is a six-axis robotic arm. A robot controller is built into the six-axis robotic arm, and the robot controller is signal-connected to the main control unit and the vision camera unit.

[0014] According to the above technical solution, preferably, it further includes a processor mechanism. The processor mechanism includes a main processor, a GPU module, a display unit, a program storage area, and a data storage area. The main processor is signal-connected to the main control unit, the GPU module, the display unit, the program storage area, and the data storage area. The GPU module processes the collected image information and sends the processed information to the main processor. The program storage area is used for storing and calling programs. The data storage area is used for saving the processed information. The display unit is used for displaying the processed information. The main processor is used for processing the image information and instructions.

[0015] According to the above technical solution, preferably, it further includes an audio unit, and the audio unit is signal-connected to the main control unit through a communication module.

[0016] It can be seen that in the above technical solution, the audio unit facilitates the more efficient input and output of sound signals.

[0017] According to the above technical solution, preferably, the communication module includes Bluetooth communication, wifi communication, RS485 or LoRa communication.

[0018] The beneficial effects of the present utility model are as follows:

[0019] (1) This patent includes a training bench, a robotic arm mechanism, and a main control unit. The robotic arm mechanism includes a robotic arm, an end effector, and a vision camera unit. It adopts a one-to-one high-fidelity industrial scenario reproduction technology, integrates a number of cutting-edge applications in the field of artificial intelligence, creates an immersive learning experience for students, enables them to efficiently learn the latest application examples of artificial intelligence technology, and accelerates the integration of theoretical knowledge and practical skills.

[0020] (2) This patent can assist students in integrating the latest technologies in the industry into robots, not only enabling students to more deeply understand the essence of artificial intelligence and robotics technology, stimulating their learning enthusiasm, but also being an effective platform for improving the level of the teaching staff, promoting the development of artificial intelligence application scenarios, and demonstration and popularization. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 Shows an isometric structural schematic diagram of the present utility model;

[0022] Figure 2 Shows a connection principle schematic diagram of the present utility model;

[0023] Figure 3 Shows a front view structural schematic diagram of the present utility model;

[0024] Figure 4 Shows a side view structural schematic diagram of the present utility model;

[0025] Description of the reference numerals:

[0026] 1. Training bench; 2. Robotic arm mechanism; 3. Robotic arm; 4. End effector; 5. Vision camera unit; 6. Chessboard unit; 7. Audio unit; 8. Processor mechanism; 9. Main processor; 10. Display unit. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] To enable those skilled in the art of the present technology to better understand the technical solutions of the present utility model, the present utility model will be further described in detail below with reference to the accompanying drawings and the best embodiments. Based on the embodiments in the utility model, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the utility model.

[0028] In the description of the utility model, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings. It is only for the convenience of describing the utility model and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the utility model.

[0029] As shown in the figure, this embodiment provides an artificial intelligence teaching innovation platform, which includes a training platform 1, a robotic arm mechanism 2, a main control unit, and a processor mechanism 8. The robotic arm mechanism 2 is arranged on the training platform 1. The robotic arm mechanism 2 includes a robotic arm 3, an end effector 4, and a vision camera unit 5. The fixed end of the robotic arm 3 is fixedly connected to the training platform 1, and the free end of the robotic arm 3 is fixedly connected to the end effector 4. The end effector 4 is used to clamp the training model. The vision camera unit 5 is arranged at the free end of the robotic arm 3. The vision camera unit 5 is used to collect information of the training model and the training platform 1. The main control unit is signal-connected to the robotic arm 3, the end effector 4, and the vision camera unit 5 of the robotic arm mechanism 2 through a communication module. The processor mechanism 8 includes a main processor 9, a GPU module, a display unit 10, a program storage area, and a data storage area. The main processor 9 is signal-connected to the main control unit, the GPU module, the display unit 10, the program storage area, and the data storage area. The GPU module processes the collected image information and sends the processed information to the main processor 9. The program storage area is used to store and call programs. The data storage area is used to save the processed information. The display unit 10 is used to display the processed information. The main processor 9 is used to process the image information and instructions. The communication module includes Bluetooth communication, wifi communication, RS485, or LoRa communication.

[0030] This patent includes a training platform 1, a robotic arm mechanism 2, and a main control unit. The robotic arm mechanism 2 includes a robotic arm 3, an end effector 4, and a vision camera unit 5. It adopts a one-to-one high-fidelity industrial scenario reproduction technology, integrates a number of cutting-edge applications in the field of artificial intelligence, creates an immersive learning experience for students, enables them to efficiently learn the latest application examples of artificial intelligence technology, and accelerates the integration of theoretical knowledge and practical skills. This patent can assist students in integrating the latest technologies in the industry into robots, not only enabling students to more deeply understand the essence of artificial intelligence and robotics technology, stimulating their learning enthusiasm, but also being an effective platform for improving the level of the teaching staff, promoting the development and demonstration of artificial intelligence application scenarios.

[0031] Optionally, in a possible implementation, the training model includes a chessboard unit 6 that is detachably connected to the training platform 1. The chessboard unit 6 is connected to the training platform 1 through a quick-release unit.

[0032] It can be seen that in the above technical solution, the chessboard unit 6 is connected to the training platform 1 through a quick-release unit, which facilitates the staff to quickly replace different training models and improves the training diversity of the training system.

[0033] Optionally, in a possible implementation, the end effector 4 includes an electric gripper with a two-finger structure. A pressure sensor is provided inside the electric gripper, and the pressure sensor is signal-connected to the main control unit. The electric gripper is used to grasp the training model, and the pressure sensor can set different pressure thresholds to facilitate the user to grasp training models of different hardnesses.

[0034] Optionally, in a possible implementation, the end effector 4 in this embodiment includes a suction cup unit. The suction cup unit is signal-connected to the main control unit, and the suction cup unit is used for negative pressure adsorption of chess pieces.

[0035] Optionally, in a possible implementation, the robotic arm 3 is a six-axis robotic arm. The six-axis robotic arm is built-in with a robot controller, and the robot controller is signal-connected to the main control unit and the vision camera unit 5.

[0036] Optionally, in a possible implementation, it further includes an audio unit 7. The audio unit 7 is signal-connected to the main control unit through a communication module, and the audio unit 7 facilitates the more efficient input and output of sound signals.

[0037] Optionally, in a possible implementation, it further includes an indicator light and a button module, and the indicator light and the button module are respectively connected to the main control unit.

[0038] Obviously, the above embodiments are merely examples given for clear illustration and not limitations on the implementation manners. For those of ordinary skill in the art, other different forms of changes or alterations can be made based on the above description. It is not necessary and impossible to enumerate all implementation manners here. And the obvious changes or alterations derived therefrom still fall within the protection scope of the present invention.

Claims

1. An artificial intelligence teaching innovation platform, characterized in that: It includes a training platform, a robotic arm mechanism and a main control unit. The robotic arm mechanism is arranged on the training platform. The robotic arm mechanism includes a robotic arm, an end effector and a visual camera unit. The fixed end of the robotic arm is fixedly connected to the training platform, and the free end of the robotic arm is fixedly connected to the end effector. The end effector clamps the training model. The visual camera unit is arranged at the free end of the robotic arm. The visual camera unit is used to collect information about the training model and the training platform. The main control unit is connected to the robotic arm, the end effector and the visual camera unit of the robotic arm mechanism through a communication module.

2. An artificial intelligence teaching innovation platform according to claim 1, characterized in that: The training model comprises a chessboard unit detachably connected to the training platform, and the chessboard unit is connected to the training platform via a quick-release unit.

3. The artificial intelligence teaching innovation platform according to claim 1, characterized in that: The end effector comprises an electric gripper with two fingers, a pressure sensor is arranged inside the electric gripper, and the pressure sensor is connected to the main control unit by signal.

4. The artificial intelligence teaching innovation platform according to claim 1, characterized in that: The end effector comprises a suction cup unit, which is connected to the main control unit by signal and is used for sucking chess pieces with negative pressure.

5. The artificial intelligence teaching innovation platform according to claim 1, characterized in that: The robotic arm is a six-axis robotic arm having a built-in robot controller, and the robot controller is signal-connected to the main control unit and the visual camera unit.

6. The artificial intelligence teaching innovation platform according to claim 1, characterized in that: It also includes a processor mechanism, which includes a main processor, a GPU module, a display unit, a program storage area and a data storage area. The main processor is signal-connected with the main control unit, the GPU module, the display unit, the program storage area and the data storage area. The GPU module processes the collected image information and sends the processed information to the main processor. The program storage area is used to store and call the program, the data storage area is used to save the processed information, the display unit is used to display the processed information, and the main processor is used to process the image information and instructions.

7. The artificial intelligence teaching innovation platform according to claim 1, characterized in that: It also includes an audio unit, which is connected to the main control unit through a communication module.

8. An artificial intelligence teaching innovation platform according to claim 7, characterized in that: The communication module includes Bluetooth communication, WiFi communication, RS485 or LoRa communication.

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