Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Online Sequential Extreme Learning Machine Method with Self-Learning Capability

A technology with sequence limit and self-learning, applied in the field of intelligent robots, it can solve the problems of poor real-time performance, low intelligence of robot obstacle avoidance and navigation, and low learning rate.

Inactive Publication Date: 2018-07-27
NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The patent application No. 201410101272.0 mainly proposes a bionic intelligent control method for traditional robots with low learning rate and poor real-time performance. This method can quickly and effectively improve the intelligence level of robots
The patent with the application number 201410055115.0 mainly aims at the problem that the intelligent level of robot obstacle avoidance navigation in the existing technology is not high. Under certain circumstances, interact with the environment in a "learning-by-doing" trial-and-error manner, establish operational conditioned reflexes, and complete obstacle avoidance navigation

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
  • Online Sequential Extreme Learning Machine Method with Self-Learning Capability
  • Online Sequential Extreme Learning Machine Method with Self-Learning Capability
  • Online Sequential Extreme Learning Machine Method with Self-Learning Capability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0075] The learning frame diagram of the present invention is as image 3 shown, and in accordance with figure 1 The flow shown is for training and learning. figure 2 The intelligent control structure model of the robot is given, which shows how the robot completes collision avoidance through autonomous learning.

[0076] Before an intelligent robot completes a series of tasks, it must first ensure that it can quickly adapt to the environment in real time and complete corresponding tasks. Therefore, the mobile robot recognizes the scene and completes the motion control of avoiding obstacles, which is called the primary task of the robot. In order to verify the validity and convergence of an extreme learning machine model with autonomous learning ability proposed by the present invention, the experiment takes a mobile robot as the research object to ...

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 an online sequence extreme learning machine method with autonomous learning ability, which belongs to the field of intelligent robot technology and is divided into nine parts, namely external state set, external action set, reward signal, value function, and state transition equation. , extreme learning machine network hidden layer output set, intermediate parameter transfer equation, extreme learning machine output set, extreme learning machine output weight transfer equation. The online sequence extreme learning machine method with autonomous learning capability provided by the present invention uses the online sequence extreme learning machine as a framework and combined with reinforcement Q learning to propose an online sequence extreme learning machine method with autonomous learning capability, and uses the model Applied to mobile robot path planning research, the robot can realize autonomous learning and navigation according to the status and rewards of the external environment, and improve the robot's autonomous learning ability in unknown environments.

Description

technical field [0001] The invention relates to an online sequence extreme learning machine method with autonomous learning ability, belonging to the technical field of intelligent robots. Background technique [0002] In view of the problems of low initiative and convergence in the existing cognitive development methods and the slow learning speed of BP network, which is easy to fall into local optimum, this patent combines the characteristics of the extreme learning machine network to randomly obtain input weights and thresholds to speed up learning and training Speed, to avoid falling into the local optimal solution, but also improve the active learning performance of the agent. [0003] Exploring the mechanism of cognitive development, constructing the mechanism of cognitive development, and endowing these mechanisms to robots are important topics in the research of artificial intelligence and robotics, cognitive science, neurophysiology and developmental psychology. ...

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 Patents(China)
IPC IPC(8): G05D1/02
CPCG05D1/0221
Inventor 任红格史涛李福进尹瑞张春磊刘伟民霍美杰徐少彬
Owner NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com