Issue |
E3S Web Conf.
Volume 515, 2024
International Scientific Conference Transport Technologies in the 21st Century (TT21C-2024) “Actual Problems of Decarbonization of Transport and Power Engineering: Ways of Their Innovative Solution”
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Article Number | 04018 | |
Number of page(s) | 8 | |
Section | Mechanical Engineering and New Energy Technologies | |
DOI | https://doi.org/10.1051/e3sconf/202451504018 | |
Published online | 12 April 2024 |
Route planning of autonomous robots in three-dimensional logic space using mivar technologies
Bauman Moscow State Technical University, 2-ya Baumanskaya Street, 5/1, Moscow, 105005, Russian Federation
* Corresponding author: ovarlamov@gmail.com
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.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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