Unlock instant, AI-driven research and patent intelligence for your innovation.

A four-axis robotic arm motion control method and system based on brain wave signals

A technology of EEG signals and EEG, applied in the field of motion control methods and systems of four-axis manipulators, can solve problems such as the inability to realize motion modes, and achieve the effects of various control methods, increased working range, and large operating range

Active Publication Date: 2020-10-16
QILU UNIV OF TECH +1
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Currently, motion control based on brain waves can only achieve simple linear motion, but cannot achieve complex motion patterns such as arcs or circles

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
  • A four-axis robotic arm motion control method and system based on brain wave signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] In one or more implementations, a method for controlling the motion of a four-axis robotic arm based on brainwave signals is disclosed, including:

[0050] 1. Acquisition of brain wave signals: Fix the brain wave acquisition module to the corresponding position of the human brain, and read the brain wave signals through the brain wave acquisition module.

[0051] 2. EEG signal transmission: The EEG acquisition module transmits to the computer through the Bluetooth module.

[0052] 3. Computer program processing: Through the processing of the transmitted brain wave signal, the processed data is compared with the threshold value. Once the threshold value is exceeded, the communication between the mechanical arm and the computer is realized.

[0053] 4. Robotic arm movement: After obtaining the brain wave signal exceeding the threshold, the program triggers the mechanical arm movement operation to realize the operation of the mechanical arm moving from point A to point B t...

Embodiment 2

[0070] A four-axis robotic arm motion control system based on brainwave signals disclosed in one or more embodiments includes a server, the server includes a memory, a processor, and a computer stored on the memory and operable on the processor A program, the processor implements the following steps when executing the program:

[0071] Collect the user's brain waves and generate brain signals;

[0072] Convert the collected EEG signals into EEG intensity data;

[0073] Compare the brainwave intensity data with the set threshold, if the brainwave intensity data exceeds the threshold, the four-axis robotic arm enters the motion mode, otherwise, the four-axis robotic arm maintains the existing motion mode or does not move;

[0074] Control the four-axis robotic arm to execute the set motion mode according to the value of the brain wave intensity data, and finally realize the movement from point A to point B in various motion modes;

[0075] During the movement of the four-axis ...

Embodiment 3

[0077] A computer-readable storage medium disclosed in one or more implementations, on which a computer program is stored, and when the program is executed by a processor, the following steps are performed:

[0078] Collect the user's brain waves and generate brain signals;

[0079] Convert the collected EEG signals into EEG intensity data;

[0080] Compare the brainwave intensity data with the set threshold, if the brainwave intensity data exceeds the threshold, the four-axis robotic arm enters the motion mode, otherwise, the four-axis robotic arm maintains the existing motion mode or does not move;

[0081] Control the four-axis robotic arm to execute the set motion mode according to the value of the brain wave intensity data, and finally realize the movement from point A to point B in various motion modes;

[0082] During the movement of the four-axis robotic arm, when the brain wave intensity data value reaches the set action change threshold, first maintain the current m...

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 discloses a brain wave signal based four-axis robotic arm motion control method and system. The method comprises the steps that brain waves of a user are collected and a brain wave signal is generated; the collected brain wave signal is converted into brain wave intensity data; and the brain wave intensity data are compared with a set threshold value, if the brain wave intensity dataexceed the threshold value, a four-axis robotic arm is controlled to move front the point A to the point B in the set motion pattern according to the value of the brain wave intensity data, or, the four-axis robotic arm does not act. The brain wave signal based four-axis robotic arm motion control method and system have the beneficial effects that motion of the DOBOT M1 intelligent four-axis robotic arm is controlled through a human brain, the control mode of the four-axis robotic arm is diverse, the motion function of the four-axis robotic arm comprises an inching mode, a point location mode, a circular arc mode and a circular motion mode, the operation range is wide, interference on peripheral equipment can be reduced, and the work range is extended.

Description

technical field [0001] The invention relates to the technical field of brain wave intelligent control, in particular to a method and system for controlling the motion of a four-axis mechanical arm based on brain wave signals. Background technique [0002] With the rapid development of artificial intelligence, the intelligence of all walks of life is becoming more and more obvious. Many mechanical devices need better human-computer interaction, and the control of machines by human brains has become a future development trend. A brain-computer interface is a direct connection between a biological brain and a computer or machine. Brain-computer fusion computing system is a new intelligent fusion system based on brain-computer interface technology that comprehensively utilizes biological intelligence and machine intelligence. Biological intelligence and machine intelligence have their own strengths and are highly complementary. Machine intelligence is good at mass storage, fas...

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): B25J9/16
CPCB25J9/1602
Inventor 李庆华魏涛徐舫舟王斌鹏
Owner QILU UNIV OF TECH