Robot control based on voice command

Author(s):  
Xiaoling Lv ◽  
Minglu Zhang ◽  
Hui Li
Keyword(s):  
2019 ◽  
Vol 9 (02) ◽  
pp. 9-14
Author(s):  
Eko Sulistyo

Control of mobile robot manually using remote control connected with cable has constraints that limited space of robot movement. For that developed mobile robot control system using bluetooth communication. The purpose of this research is to create a mobile robot control system through wireless communication using voice command instruction via application on Android using microcontroller type Arduino Mega2560. The methodology in this research is the voice instruction will be recorded by the application on Android, then matched with the database and then converted into characters in the form of strings and sent via bluetooth transmitter on Android to bluetooth receiver on mobile robot to be executed by program made on microcontroller robot. The results obtained include mobile robot can move to follow voice command instruction that is given include command forward, backward, turn left and right only for one movement while in test result got error of movement equal to 1.55% with response time 4-7 second because the process of recording and translation of voice instructions on Android and also influenced by noise or other sounds that are not desired.


2021 ◽  
Vol 1783 (1) ◽  
pp. 012048
Author(s):  
Ruri Ashari Dalimunthe ◽  
Maulana Dwi Sena ◽  
William Ramdhan

IEE Review ◽  
1988 ◽  
Vol 34 (7) ◽  
pp. 280
Author(s):  
A.G. Blay
Keyword(s):  

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.


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