Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)

The Remote Control System of Domestic Robots Based on Android

Authors
Xinhua Lin, Yannan Jiang, Yulian Jiang
Corresponding Author
Xinhua Lin
Available Online March 2018.
DOI
10.2991/icaita-18.2018.19How to use a DOI?
Keywords
domestic robots; android; remote control; Speech recognition
Abstract

Based on self-developed and somatosensory-mapping robot, a remote control system of domestic robots is designed in this paper, in which the system adopts intelligent speech recognition technology in terms of C/S framework such that the speech control robot has been used to do some basic housework. Combining with HTTP and MQTT, the robot can be employed to do the video surveillance and environmental monitoring. By delivering video stream and environmental parameters to Android devices, users can remotely monitor house situation easily, which makes the control of domestic robots smarter and easier.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/icaita-18.2018.19
ISSN
1951-6851
DOI
10.2991/icaita-18.2018.19How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xinhua Lin
AU  - Yannan Jiang
AU  - Yulian Jiang
PY  - 2018/03
DA  - 2018/03
TI  - The Remote Control System of Domestic Robots Based on Android
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 73
EP  - 76
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.19
DO  - 10.2991/icaita-18.2018.19
ID  - Lin2018/03
ER  -