Open AccessDesign and implementation of mobile robot for epidemic nursing
Author(s) -
Long Bing Liang,
Shuai Feng Huang,
Li Tang,
Guo Qing Qu,
Jie Song,
Yang Li,
Jianwen Yu,
Xin Guan,
Qu Xin Jiang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/2/022023
Subject(s) - obstacle , mobile robot , robot , computer science , ultrasonic sensor , path (computing) , genetic algorithm , real time computing , nursing , simulation , artificial intelligence , medicine , geography , computer network , archaeology , machine learning , radiology
In view of the serious infection of doctors and nurses in epidemic area, a mobile nursing robot was designed. The robot takes stm32f107 as the core, ultrasonic and infrared sensors as the sensing module, collects the obstacle signals through ultrasonic and infrared sensors, and avoids after stm32f107 processing, so as to realize the free movement of the robot. According to the genetic algorithm, the mobile nursing robot can get the best path, according to the obstacle data in the best path, using the attitude calculation method to achieve the turn. It has been proved that the combination of genetic algorithm and attitude estimation can improve the working efficiency and accuracy of mobile nursing robot.