Robot deep learning method

A technology of deep learning and robotics, applied in the field of robotics, can solve problems such as the lack of interaction between robots and clients, and achieve the effect of deep learning and two-way communication

Inactive Publication Date: 2018-01-23
ZHEJIANG XINGXING REFRIGERATION CO LTD
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the future, the market demand for robots will also continue to expand, and robotic intelligent equipment will continue to emerge. At present, there is no ideal way of interaction between robots and clients.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Robot deep learning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] Such as figure 1 The deep learning method of a kind of robot is provided for the present invention, comprises the following steps:

[0027] Step S1: Establish a connection between the robot and the client, wherein the robot includes a database processing system, a voice system, a visual acquisition system, an image processing system and a first communication system, and the database processing system communicates with the voice system, the visual acquis...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a robot deep learning method. The method comprises the following steps that connection between a robot and a client side is established; a visual acquisition information, voice information and scanning information are received and uploaded to a database processing system; data of the database processing system are processed and analyzed based on a cloud computing module and uploaded to a robot processing chip, and received information is stored and memorized by the processing chip; instruction information is issued to the robot through the client side according to theprocessing and analyzing data; and the robot receives the instruction information and identifies the instruction information, identified information is compared with stored memories, and then the robot acts correspondingly. According to the method, information interaction with the robot can be achieved, the robot can act correspondingly according to the instruction issued by the client side and feeds action information back to the client side, and robot deep learning can be achieved.

Description

technical field [0001] The invention relates to the field of robots, in particular to a deep learning method for robots. Background technique [0002] Robots and automation equipment have a broad application market. Taking robots as an example, robot technology, as a typical representative of advanced manufacturing technology, is an important modern Manufacturing automation equipment. With a high degree of flexibility and adaptability, it satisfies the characteristics of modern production mode - small batches, multiple varieties, short product life cycle and fast replacement. It can change the traditional production mode, improve product quality and production efficiency, and realize civilized production and Flexible production. Industrial robots have been widely used in automobiles and parts, motorcycles, construction machinery, machine tool molds, low-voltage electrical appliances, tobacco, chemical industry, military industry and other fields. In the future, the market...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): B25J11/00B25J9/18
Inventor 孙则讵
Owner ZHEJIANG XINGXING REFRIGERATION CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap