Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)

Bionic Spider Robot Control Based on Image Processing Algorithm

Authors
Qingsheng Shi, Cheng Wei, Ke Lu
Corresponding Author
Qingsheng Shi
Available Online March 2018.
DOI
https://doi.org/10.2991/acaai-18.2018.3How to use a DOI?
Keywords
image processing; bionic spider robot; edge detection; object grasping
Abstract

Compared to wheeled and tracked robots, bionic robots are playing an increasingly important role in search, rescue, anti-terrorism and scientific investigation. The vision processing system is the vital part of the bionic robot system, and its algorithm determines the overall control performance of the system. In the paper, a bionic spider robot control strategy is proposed based on image processing algorithm. The object grasping of is taken as the control object, and the simulation experiment is carried out based on the self-made system. The experimental results show that the proposed control strategy based on image processing algorithm is feasible and effective.

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 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-483-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/acaai-18.2018.3How 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  - Qingsheng Shi
AU  - Cheng Wei
AU  - Ke Lu
PY  - 2018/03
DA  - 2018/03
TI  - Bionic Spider Robot Control Based on Image Processing Algorithm
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 10
EP  - 11
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.3
DO  - https://doi.org/10.2991/acaai-18.2018.3
ID  - Shi2018/03
ER  -