Infopaket

Intelligent robotic systems

ВК 1.4

Вибіркова дисципліна для ОП

First

2024/2025

6 Semester

5

Apply modern automation technologies for analysis, design, and development of complex objects and systems at various stages of their life cycle.

Full-time form

Know the basics of mathematical analysis; basics of linear algebra; basics of discrete analysis; basics of decision-making theory; basics of artificial intelligence, architecture of computing systems, computer networks, operating systems. To be able to perform algorithmization of mathematical tasks; programmatically implement algorithms. To have elementary skills of constructing algorithms; programming.

Robotic systems is a field that covers a fairly wide class of objects, from the simplest toys to fully automated productions and mechanisms designed to replace humans in performing difficult, unpleasant and dangerous work. Modern computer software and hardware are the core of robotic systems. High computing speed and fast-acting intelligent control tools provide ample opportunities for implementing adaptive high-precision control of executive devices taking into account external influences and informative factors. As a result of studying the discipline, students should master fundamental and applied knowledge and principles of operation of robotics tools; general principles of building robots; features of executive bodies (drives) of robots; mathematical models of robots, robotic systems and complexes, principles of their adaptive and intelligent management.

Robotics. Tutorial. / K. P. Storchak, V. R. Mykolaichuk, A. M. Tushych. - Kyiv: DUT, 2019. - 96 p. / [Electronic resource]. - Access mode: http://www.dut.edu.ua/uploads/l_1857_15027286.pdf Robotic systems: design and modeling [Electronic resource]: study guide for bachelor's degree holders, according to the educational program "Information support of robotic systems" specialty 126 "Information systems and technologies" / M. M. Polishchuk, M. M. Tkach; KPI named after Igor Sikorsky. – Electronic text data (1 file: 40 MB). – Kyiv: KPI named after Igor Sikorskyi, 2021. – 112 p. Kutyrev, A.; Kiktev, N.; Jewiarz, M.; Khort, D.; Smirnov, I.; Zubina, V.; Hutsol, T.; Tomasik, M.; Biliuk, M. Robotic Platform for Horticulture: Assessment Methodology and Increasing the Level of Autonomy. Sensors 2022, 22, 8901. https://doi.org/10.3390/s22228901

Lectures, Laboratory classes, Student's work independently

During the semester, after the completion of the relevant modules, two written (modular) test papers are conducted. At the same time, to determine the level of achievement of learning outcomes 2 and 3, separate questions are formulated in the form of situational problems. For students who during the semester did not reach the minimum grade level (60% of the maximum possible number of points, i.e. 48 points), a final semester test is conducted, the maximum grade for which cannot exceed 40% of the final grade (up to 40 points on a one-point scale). The condition for obtaining a positive final grade for the discipline is to achieve at least 60% of the maximum possible number of points, while the grade for learning outcomes 2 and 3 cannot be less than 50% of the maximum level

Ukrainian