Dmitry Aladin

• Master of Computer Science
• Assistant lecturer at Bauman Moscow State Technical University

The purpose of this paper is to study the application of ChatGPT and BERT models in the field of mechanical engineering. In the context of machine learning, the ChatGPT and BERT models can be applied to various natural language processing tasks such as analyzing technical documentation and building instructions according to a particular version of...

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...

This paper describes an approach to the automatic generation of a mivar knowledge base of a three-dimensional logic space. This knowledge base is created to provide three-dimensional robot movement. Automatic generation of mivar knowledge bases is necessary for the further solution of the problem of planning three-dimensional routes of robots and r...

To create autonomous robots, both hardware and software are needed. If enormous progress has already been made in the field of equipment, then robot software depends on the development of artificial intelligence. This article proposes a solution for creating “logical” brains for autonomous robots, namely, an approach for creating an intelligent rob...

The amount of knowledge in various industries is constantly growing and employers increase and update the requirements for a university graduate. But the restrictions on the time of training of students and the amount of the studied material remain. This leads to a contradiction between the existing student learning process and the requirements of...

The existing contradiction between the increasing requirements of employers to the process of teaching students and the preservation of restrictions on the time of study objectively requires the evolutionary development of educational programs. To do this, it is necessary to improve the University’s management process, including ensuring flexibilit...

The article proposes an approach to the development of a driver's digital twin model of a highly automated vehicle based on the superimposition of the processes of information perception and solving control problems in the subject area on the structure of a hybrid intelligent information system. In particular, the issue of presenting the driver's o...

The algorithm of operation of a software package supporting decision making on the efficiency and safety of medical use of thermolabile blood components is described. The algorithm involves collection, analysis, and processing of data obtained at the stages of collection, transportation, storage, and quality monitoring of blood components. The soft...

This work is devoted to developing an automated information processing and management system based on logical artificial intelligence. The proposed system has been designed to support the process of growing agricultural and house plants. This research is one of the global trends of intelligent tools and services application in the agricultural indu...

This research presents a methodology for creating mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems. At its core, this methodology is kind of instruction for analysts facing the task of formalizing knowledge in a given subject area. The result of this formalization is a “knowledge map” created according to...

Rule-based production expert systems have been used in medicine for a long time. The article shows how a mivar expert system can be used for the diagnosis of diabetes mellitus. Development of such a system is described. It involves creating a knowledge base in the form of a mivar net of parameters and rules, which is then entered in Wi!Mi to obtain...

The task of creating a logical "strong" artificial intelligence (AI) to be used as new decision-making systems for autonomous vehicles, tractors, and robotic systems draws increasing attention of scientists around the world. Essentially, it is the creation of "brains" for vehicles and any other transport systems, including cyber-physical systems. T...

The Mivar decision-making system (MDMS) "ROBO!RAZUM" can be used to control autonomous combine harvesters and tractors, which can additionally perform a variety of actions in the process of moving through the field: working in group interaction mode, performing tasks in different weather conditions and even with a faulty or disabled technical visio...

An important element in the control of machines and robots is the Mivar decision-making system based on production rules and cause-effect relationships. For example, unmanned vehicles must know the traffic laws rules in a real environment. It is shown how young scientists and students of the department "Information Processing and Control Systems" o...

To control machines and robots, in addition to the well-known reflex level control systems, it is proposed to use logical level decision-making systems that are created on the basis of mivar expert systems. It is shown that the use of mivar expert systems makes it possible to solve problems of automatic planning of actions of robots in the state sp...

To control machines and robots, it is proposed, in addition to well-known control systems of the reflex level, to use a logical level Mivar decision-making systems. In this report, the scientific background on the application of the Mivar technologies for controlling autonomous tractors and special vehicles of the Ministry of Emergencies is shown....

For the first time in the world, mivar expert systems were used for solving action planning problems for robotic systems. The KESMI (Wi!Mi) Razumator solution was used to create a mivar-based system called MIPRA (mivar-based intelligent planner of robot actions), which delivers a qualitative (by several orders of magnitude) boost to the process of...

The paper touches upon the issues of monitoring and assessment of driver's actions during driving. Its key idea is to prove that currently there are all necessary conditions to develop control systems of traffic regulations based on artificial intelligence with logical reasoning. The article gives a detailed analysis of advanced driver-assistance s...

The article deals with the problem of creating expert systems for the reconstruction and analysis of motor vehicle accidents (MVA). The need for development of the special expert system of the analysis and examination of road accident for the solution of this problem was formulated. Also, in the article the compatibility models of the Mivar Expert...

The article substantiates the possibility of using mivar technologies to solve the problems of intelligent STRIPS planning in the state space. An example of the formulation in the formalism of mivar networks and the solution of the problem "robot rearranges the cubes" is shown. The ways of creation of unmanned vehicles and Autonomous robotic system...

The main field of our research is artificial intelligence already implemented in the experimental autonomous road vehicle. Artificial intelligence now is a really huge area of studies. This investigation is focused more on a development of intelligent systems. Such as expert systems, semantic text processing systems, semantic image understanding sy...

The article is dedicated to the issue of the possibility for building a system for monitoring compliance with traffic rules on the basis of mivar technologies. Currently unmanned vehicle control systems are being developed worldwide. In particular, based on the mivar expert systems supplied with Razumator – a system with linear computational comple...

This article reviews contemporary search robots. It is spoken in detail about general rules and principles of search agents. Examples of practical applications of search engines are given. In addition, the leading projects of the Open Source community are considered.

В работе рассмотрено назначение онтологии и её типы. Приведены общие правила построения онтологий. Рассмотрены основные конструкции семантического знака: простая схема, треугольник Фреге и его интерпретация в прикладной семиотике, квадрат Д.А. Поспелова. Особое внимание уделено ситуационному подходу в естественно-языковой обработке первоисточников...