Open AccessVoice frequency impact for voice control of collaborative robots
Author(s) -
Matej Janíček,
Radovan Holubek,
Roman Ružarovský,
Karol Velíšek
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1009/1/012025
Subject(s) - robot , control (management) , robotics , human voice , voice command device , set (abstract data type) , computer science , reliability (semiconductor) , voice analysis , human–computer interaction , arduino , speaker recognition , speech recognition , artificial intelligence , physics , power (physics) , quantum mechanics , programming language , operating system
The project is focused on research of voice control of collaborative robots. Previous research of voice control and speech recognition research have given examples and evidence that machines can truly be controlled by human voice. The main problem in the voice control of collaborative robots is the lack of reliability and safety of control compared to manual control. Of the results achieved, the most and least relevant voice control problem has been clearly identified, next step is voice frequency impact for voice control. The experiments were performed in the robotics laboratory at the Faculty of Materials Science and Technology in Trnava, and this using an Arduino kit and a small robot “DOBOT Magician“. In the final part of the project are summarized all experimentally found facts and confronted with the assumptions set in the design of the experiment.