Service robot control method based on brain-machine interaction

Abstract

The invention discloses a service robot control method based on brain-machine interaction. The method includes the following steps that S1, a robot control unit is divided into a robot motion controlunit and a mechanical arm action control unit; the robot control unit is controlled by a master controller; S2, visual stimulations of different frequencies are sent by a visual stimulator so that a visual evoking brain generates brain waves of different frequencies; S3, the brain waves in a brain are collected through a TGAM chip, the brain wave signals of different frequencies are converted intoa control instruction for a robot through a cell phone APP; S4, the cell phone APP sends the control instruction to the master controller on the robot through wireless Bluetooth; and S5, the master controller controls the robot control unit by combining a robot speed fuzzy control algorithm and an incremental PID algorithm.

Description

technical field [0001] The invention relates to the field of intelligent robots, in particular to a method for controlling a service robot based on brain-computer interaction. Background technique [0002] Brain-computer interaction technology is a communication and control technology that does not rely on human muscles and nerves outside the brain. It allows the human brain to establish a control channel with external electronic devices through brain waves. The invention adopts the visually induced EEG technology in the brain-computer interaction technology to control the service robot to help the disabled, the elderly with limited mobility, and the patients with muscular atrophy, polio, and Alzheimer's to do some simple housework activities. With the rapid development of brain science and artificial intelligence technology, the combination of brain-computer interaction technology and electronic equipment has been unprecedentedly developed and applied. Especially recently, ...

AI Technical Summary

Problems solved by technology

[0009] 1. Most visual stimuli use flashing diodes. The collected EEG signals are weak, difficult to identify, and bulky. It is not convenient to flexibly generate different stimulation modes through programming, and it is also inconvenient to modify and upgrade.

[0010] 2. The white single-image visual stimulation method is used as the visual stimulation mode. The characteristic signal waveform induced by visual stimulation has a lower peak value, more frequency multiplication, lower accuracy rate, and is easy to hurt the eyes.

[0011] 3. Traditional robot control uses PID control method to control the robot, which has low control precision, complicated control method and difficult adjustment.

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