| Autor: |
Bizubac Dan, Hörmann Bernd Otto, Popa Marcel Sabin |
| Jazyk: |
English<br />French |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
MATEC Web of Conferences, Vol 299, p 02010 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/201929902010 |
| Popis: |
The Automated Guided Vehicle (AGV) is a mobile device that is used in the manufacturing plants lately for transporting materials from one space to another. AGVs are connected to a central navigation system which continuously directs the device to its source or destination. Their main features are their flexibility and adaptability to the environment once the AGVs are configured. The main focus of this article is to present the AGV technology based on vision navigation system reinforced by programming code and navigation graphs with the scope of adhering to the latest innovative concepts in terms of efficiency and optimized manufacturing. The topic of vision-based systems being recent to the engineeringevolution, several academicians have discussed probabilities for improvement: some introduce the concept of an independent robot which can learn through artificial intelligence about the dynamic environment or others state, that a neural network can be used in the future as the basis for movement of the AGV in the workspace. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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