Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

Research on Detection Robotic Visual Signal Remote Transmission and Control

Authors
Si Zhang
Corresponding Author
Si Zhang
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.137How to use a DOI?
Keywords
Detection Robotic; Visual Signal; Remote Transmission; Remote Control
Abstract

with the development of robotics, robots will play a great role in the complicated conditions and extreme environments. Robots are used in data collection and complete the task of detecting robot developed for disaster relief in the future, in particular, guarantee the security of aid workers is of great significance. Through the robot's remote transmission of visual signals and control to ensure that their completed mission, is the main content of this article. Object to detect robots for this paper, analysis of robotic remote tasks, and on the basis of functional requirements, combining robot visual signal remote transmission and control technology, design of the Detection robot system, I believe that can be widely used in various environmental conditions.

Copyright
© 2016, 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 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-156-8
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.137How to use a DOI?
Copyright
© 2016, 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  - Si Zhang
PY  - 2016/02
DA  - 2016/02
TI  - Research on Detection Robotic Visual Signal Remote Transmission and Control
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 732
EP  - 735
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.137
DO  - 10.2991/iccsae-15.2016.137
ID  - Zhang2016/02
ER  -