Mathematical Statement and Solution of Enterprise Equipment Maintenance and Repair Scheduling Problem

Gurianov, Dmitrii A.; Myshenkov, Konstantin S.; Terekhov, Valery

doi:10.1109/reepe53907.2022.9731420

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…The use of LiDAR has allowed solving a list of new tasks: evaluation of the quality of segmentation of an individual tree [22], determination of the location of trees and estimation of their diameters [23], inventory of trees [24] and classification of tree species [25] based on LiDAR data [26]. With the help of satellite imagery analysis [27] has been possible to solve tasks of segmenting trees damage [28] and identifying deforested areas [29] using neural networks [30]. In addition to the tasks described above, neural network technologies in HIIS allow solving a huge number of completely different tasks: management of data lakes [31], processing and visualization of tomography signals for making decisions on COVID [32], detection of energy theft in intelligent networks using explainable attention maps [33], for removing noise in audio and video [34], as well as for indoor navigation [35].…”

Section: Introductionmentioning

confidence: 99%

Route planning of autonomous robots in three-dimensional logic space using mivar technologies

Kotsenko,

Andreev,

Kim

et al. 2024

E3S Web Conf.

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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.

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