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Dialogue robot based on depth learning

A dialogue robot and deep learning technology, applied in the field of robotics, can solve the problems of adjusting the height of the dialogue, inconvenient movement of the dialogue robot, and unfavorable practical use.

Pending Publication Date: 2020-10-23
NANTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above-mentioned shortcomings existing in the prior art, the present invention provides a dialogue robot based on deep learning, which can effectively overcome that the dialogue robot existing in the prior art cannot adjust a suitable dialogue height according to the child's height, which is not conducive to practical At the same time, it is inconvenient to move the conversational robot during use, which reduces the enthusiasm of children

Method used

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  • Dialogue robot based on depth learning
  • Dialogue robot based on depth learning
  • Dialogue robot based on depth learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Example 1, such as Figure 1-6 A dialogue robot based on deep learning is shown, including a hollow base 1, a display screen 7, a camera 8, a microphone 10, a charging interface 11, a storage battery 15 and an intelligent control module 28. The bottom of the hollow base 1 is provided with four groups of identical straight Slot 2, the inner bottom of hollow base 1 is fixedly connected with battery 15, support bearing 33, electric push rod 30 and drive motor 36, the top of support bearing 33 is fixedly connected with U-shaped plate 29, the outer ring of support bearing 33 and hollow base 1 Fixed connection, the inner ring of the support bearing 33 is fixedly connected with the U-shaped plate 29, the top middle end of the U-shaped plate 29 is fixedly connected with the first ring gear 32, and the output end of the electric push rod 30 is fixedly connected with an L-shaped tooth plate 31, the L-shaped gear plate 31 is meshed with the first ring gear 32, the output end of th...

Embodiment 2

[0030] Embodiment 2 is a further improvement to Embodiment 1.

[0031] Such as Figure 1-6 A dialogue robot based on deep learning is shown, including a hollow base 1, a display screen 7, a camera 8, a microphone 10, a charging interface 11, a storage battery 15 and an intelligent control module 28. The bottom of the hollow base 1 is provided with four groups of identical Straight groove 2, the inner bottom of hollow base 1 is fixedly connected with battery 15, support bearing 33, electric push rod 30 and drive motor 36, the top of support bearing 33 is fixedly connected with U-shaped plate 29, the top middle end of U-shaped plate 29 The first ring gear 32 is fixedly connected at the center, the output end of the electric push rod 30 is fixedly connected with an L-shaped gear plate 31, the L-shaped gear plate 31 is meshed with the first ring gear 32, and the output end of the driving motor 36 is fixedly connected with a second ring gear. Three ring gears 35, the third ring ge...

Embodiment 3

[0032] Embodiment 3 is a further improvement to Embodiment 1.

[0033] Such as Figure 1-6 A dialogue robot based on deep learning is shown, including a hollow base 1, a display screen 7, a camera 8, a microphone 10, a charging interface 11, a storage battery 15 and an intelligent control module 28. The bottom of the hollow base 1 is provided with four groups of identical Straight groove 2, the inner bottom of hollow base 1 is fixedly connected with battery 15, support bearing 33, electric push rod 30 and drive motor 36, the top of support bearing 33 is fixedly connected with U-shaped plate 29, the top middle end of U-shaped plate 29 The first ring gear 32 is fixedly connected at the center, the output end of the electric push rod 30 is fixedly connected with an L-shaped gear plate 31, the L-shaped gear plate 31 is meshed with the first ring gear 32, and the output end of the driving motor 36 is fixedly connected with a second ring gear. Three ring gears 35, the third ring ge...

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Abstract

The invention relates to a dialogue robot based on depth learning, and relates to the technical field of robots. The dialogue robot comprises a hollow base, the hollow base is provided with a straightgroove, the hollow base is provided with a storage battery, a supporting bearing, an electric push rod and a driving motor, the supporting bearing is provided with a U-shaped plate, the U-shaped plate is provided with a first gear ring, the electric push rod is provided with an L-shaped gear plate, the L-shaped gear plate is connected with the first gear ring, the driving motor is provided with athird gear ring, the third gear ring is provided with a second gear ring, the second gear ring and the U-shaped plate are provided with a rotating shaft, the rotating shaft is provided with rollers,the hollow base is provided with a sleeve, the sleeve is provided with a movable sliding cylinder, the sleeve is provided with an adjusting structure, the movable sliding cylinder is provided with a head, the head is provided with a switch, a display screen, a camera and a microphone, the head is provided with an installation cavity, the installation cavity is provided with an air inlet hole and an air outlet hole, the installation cavity is provided with a fan, and the bottom of the installation cavity is fixedly connected with a storage module, a loudspeaker, a teaching module, an installation cavity, a wireless module, a learning module and an intelligent control module. The dialogue robot is more convenient to move during use, and the use enthusiasm of children is improved.

Description

technical field [0001] The invention relates to the technical field of robots, in particular to a dialogue robot based on deep learning. Background technique [0002] Deep learning is a new research direction in the field of machine learning. It is introduced into machine learning to make it closer to the original goal—artificial intelligence; deep learning is to learn the internal laws and representation levels of sample data. Information is of great help in the interpretation of data such as text, images and sounds. Its ultimate goal is to enable machines to have the ability to analyze and learn like humans, and to be able to recognize data such as text, images, and sounds. Deep learning is a complex machine learning algorithm that has achieved results in speech and image recognition that far exceed previous related technologies. Deep learning has achieved many results in search technology, data mining, machine learning, machine translation, natural language processing, ...

Claims

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Application Information

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IPC IPC(8): B25J11/00B25J5/00B25J19/00
CPCB25J11/00B25J5/00B25J19/00B25J11/0005B25J5/007B25J19/0054
Inventor 朱建新
Owner NANTONG UNIVERSITY
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