Proceedings of the 2nd International Conference on Vocational Education and Training (ICOVET 2018)

Colour-based PBEJCT Sorting in a Wide Range and Dense Target Points using Arm Robot

Authors
Muladi Muladi, Siti Sendari, Ilham Ari Elbaith Zaini
Corresponding Author
Muladi Muladi
Available Online January 2019.
DOI
10.2991/icovet-18.2019.54How to use a DOI?
Keywords
sorting system, arm robot, 4 DOF, colour detection;
Abstract

The sorting system using arm robot is very complex as it involves pick and place mechanism. The complex parts of the system come from the mechanical parts and also the electronic-based control. The complexity will increase as higher the degree of freedom (DOF). This paper report the development of the sorting system using 4 DOF and employs a CCD camera for detecting the object. The movement principles of the arm is using kinematic both forward and inverse. The camera will differentiate the object using its colour. The result shows that the arm can place the object in the 5 mm distance while the coverage area is a square of 30 cm.

Copyright
© 2019, 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 2nd International Conference on Vocational Education and Training (ICOVET 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2019
ISBN
978-94-6252-668-6
ISSN
2352-5398
DOI
10.2991/icovet-18.2019.54How to use a DOI?
Copyright
© 2019, 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  - Muladi Muladi
AU  - Siti Sendari
AU  - Ilham Ari Elbaith Zaini
PY  - 2019/01
DA  - 2019/01
TI  - Colour-based PBEJCT Sorting in a Wide Range and Dense Target Points using Arm Robot
BT  - Proceedings of the 2nd International Conference on Vocational Education and Training (ICOVET 2018)
PB  - Atlantis Press
SP  - 219
EP  - 222
SN  - 2352-5398
UR  - https://doi.org/10.2991/icovet-18.2019.54
DO  - 10.2991/icovet-18.2019.54
ID  - Muladi2019/01
ER  -