Robot intelligent idea control method based on modal migration complex network

A technology of robot intelligence and complex network, which is applied in the field of robot intelligent idea control based on modal transfer complex network, and achieves the effects of high recognition and control accuracy, improved classification accuracy, and rich directional targets.

Active Publication Date: 2018-08-17
TIANJIN UNIV
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these algorithms still have some limitations

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 intelligent idea control method based on modal migration complex network
  • Robot intelligent idea control method based on modal migration complex network
  • Robot intelligent idea control method based on modal migration complex network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The robot intelligent idea control method based on the modal transition complex network of the present invention will be described in detail below with reference to the embodiments and the accompanying drawings.

[0040] The robot intelligent idea control method based on the mode transfer complex network of the present invention, the flow chart is as follows figure 1 shown, including the following steps:

[0041] 1) Obtain the surrounding environment information through the image acquisition equipment carried by the robot, combined with deep learning theory, so that the robot has the target recognition function; including:

[0042] (1) The robot collects the picture information of the surrounding environment from different angles respectively. The robot is a robot or a robot formation that can realize cooperative operation. For example, a group of four robots are used to move cooperatively in a rhombus shape, and the front, rear, left, and right sides are collected resp...

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 provides a robot intelligent idea control method based on a modal migration complex network. The method comprises the steps of through picture acquisition equipment carried by each robotin robots, obtaining surrounding environment information, so that the robot has a target recognition function; acquiring a four-electrode SSVEP electroencephalogram induced when a testee stares at aflicking picture in a visual excitation interface and uploading the four-electrode SSVEP electroencephalogram to an upper computer through WiFi wirelessly; using a polybasic experience modal decomposing method to process the obtained four-electrode SSVEP electroencephalogram, through the combination of a modal migration complex network analysis theory, accurately classifying the four-electrode SSVEP electroencephalogram, reversely deducting the visual excitation picture stared by the testee, then generating a robot formation control instruction and achieving robot intelligent idea control. Direction targets capable of being selected by the robot are richer, and the analyzing and processing capability of the signal and the recognition control accuracy are high.

Description

technical field [0001] The invention relates to an idea control method. In particular, it relates to a robot intelligent idea control method based on a complex network of modality transfer. Background technique [0002] Brain-Computer Interface (BCI) is a communication system that directly connects the brain with computers and external devices without relying on the output pathways composed of peripheral nerves and muscles. The brain-computer interface system has the advantages of non-invasive acquisition, simple operation and unique time resolution advantages. A BCI system usually consists of four modules: an EEG signal acquisition module, an EEG feature extraction module, an EEG feature classification module, and an external device control module. The feature extraction module and the feature classification module are the core parts of the entire brain-computer interface. It is through these two modules that the EEG signal can be converted into a control signal that can ...

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): G06F3/01
CPCG06F3/015
Inventor 高忠科党伟东侯林华刘新睿
Owner TIANJIN UNIV
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