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Intelligent control system and method of mobile robot and intelligent learning method

A mobile robot and intelligent control technology, applied in the field of intelligent control system and intelligent learning, can solve problems such as low work efficiency and robots cannot complete complex tasks completely autonomously, so as to improve work efficiency, reduce trial and error time, and promote development. Effect

Pending Publication Date: 2018-01-05
福物(上海)机器人科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to overcome the defect that the control mode of the mobile robot in the prior art is simple open-loop control, so that the robot cannot complete complex tasks completely autonomously and the work efficiency is low, and provide a method that can make Intelligent control system, method, and intelligent learning method for a mobile robot that completes complex tasks completely autonomously and has high work efficiency

Method used

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  • Intelligent control system and method of mobile robot and intelligent learning method
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Examples

Experimental program
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Embodiment 1

[0052] Such as figure 1 As shown, an intelligent control system 1 for a mobile robot includes an intelligent control device and a network server 11, and the network server 11 includes an intelligent parser 1101; the mobile robot 2 includes an executing mechanism and a sensing mechanism. In this embodiment, the intelligent control device adopts the VR brain wave helmet 12, and the actuator and the perception mechanism respectively adopt the motor 21 and the camera 22.

[0053] The network server 11 is respectively connected to the VR brain wave helmet 12 and the mobile robot 2 through the network.

[0054] The VR brainwave helmet 12 is used to receive the first control signal input from the outside of the system by the operator 3 and convert the first control signal into a second control signal and send it to the network server 11. In this embodiment, the first control signal The signal is the brain wave signal of the controller 3 . The network server 11 is used to receive an...

Embodiment 2

[0059] Such as figure 2 As shown, the difference from Embodiment 1 is that the intelligent control device in this embodiment adopts PC12', and the actuator and sensing mechanism adopt steering gear 21' and range finder 22' respectively.

[0060] Network server 11 is connected with PC 12' and described mobile robot 2' by network respectively.

[0061] The PC 12' is used to receive the first control signal input from the outside of the system by the control party 3' and convert the first control signal into a second control signal and send it to the network server 11. In this embodiment, the first control signal is The data signal input by the operator 3' through the keyboard of the PC12'. The network server 11 is used to receive and store the second control signal; the intelligent parser 1101 is used to analyze the second control signal into a control command and send it to the mobile robot 2'; the mobile robot The steering gear 21 ′ of 2 ′ is used to perform tasks according...

Embodiment 3

[0066] Such as image 3 As shown, an intelligent control method for a mobile robot is implemented based on the intelligent control system 1 for a mobile robot in Embodiment 1, and the intelligent control method includes the following steps:

[0067] Step S101, the VR brain wave helmet 12 receives the first control signal input by the operator 3 from outside the system, that is, the brain wave signal, and converts the signal into a second control signal and sends it to the network server 11;

[0068] Step S102, the network server 11 receives and stores the second control signal, and the intelligent parser 1101 parses the second control signal into a control command and sends it to the mobile robot 2;

[0069] Step S103, the motor 21 of the mobile robot 2 executes the task according to the control instruction;

[0070] Step S104, the camera 22 of the mobile robot 2 acquires perception information, namely images and videos, and sends the perception information to the network ser...

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Abstract

The invention discloses an intelligent control system and method of a mobile robot and an intelligent learning method. The intelligent control system comprises an intelligent control unit and a network server; the network server comprises an intelligent analyzer; the intelligent control unit receives a first control signal and converts the first control signal to a second control signal; the network server receives the second control signal; the intelligent analyzer is used for analyzing the second control signal into a control instruction and sending the control instruction to the mobile robot; an executing mechanism of the mobile robot is used for executing a task according to the control instruction; a sensing mechanism of the mobile robot is used for obtaining sensing information and sending the sensing information to the network server; and the network server is further used for receiving the sensing information and sending the sensing information to the intelligent control unit.According to the intelligent control system and method of the mobile robot and the intelligent learning method, human intervention and supervision is introduced while the mobile robot executes the task, machine intelligence is optimized through human feedbacks, the machine intelligence trial and error time is shortened, complicated tasks can be fulfilled independently through machine intelligence,and the working efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of mobile robot control, in particular to a network-based intelligent control system, method and intelligent learning method for a mobile robot. Background technique [0002] With the progress of society, mobile robots have gradually entered people's work and life, which can replace people to complete a series of tasks. In the process of mobile robots assisting humans in their work, the open-loop control mode is generally adopted. For example, humans control the mobile robot to perform operations within the visible range, or use multiple cameras to capture and display the scene around the mobile robot through remote control. in front of the operator. Today, as mobile robots are becoming more and more intelligent, this simple open-loop control hinders the development of mobile robots' intelligence. From the perspective of intelligent service mobile robots, the current mobile robots cannot complete complex t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B25J9/16
Inventor 黄伟杨飒飒韦韧
Owner 福物(上海)机器人科技有限公司
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