| Autor: |
Kotsenko Anton, Andreev Aleksandr, Kim Radmir, Bazanova Anastasiia, Aladin Dmitry, Todua David, Marushchenko Aleksei, Varlamov Oleg |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
E3S Web of Conferences, Vol 515, p 04018 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202451504018 |
| Popis: |
The paper describes an approach to using mivar technologies for planning three-dimensional robot routes, taking into account the given obstacles. This system is of great importance in increasing the autonomy of robots, as it will ultimately help us get closer to creating artificial intelligence in mechanical engineering. At present, there are many tasks related to automation and robotics that require non-trivial solutions. The article describes three models of three-dimensional logical space and presents a visualization of route construction in these spaces for robotic complexes. Obstacles in three-dimensional logical space are understood as the absence of graph vertices and transitions between them in a certain specific area. The use of mivar technologies of logical artificial intelligence in the field of transport systems allows to significantly speed up route planning thanks to a unique mivar algorithm for processing information, which allows creating systems capable of making decisions in real time. This work is intended for researchers dealing with the problem of three-dimensional route planning using mivar technologies. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
