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Intelligent Robotics Systems

Language of instruction

english, lithuanian

Qualification degree and (or) qualification to be awarded

Bachelor of Engineering Sciences

Place of delivery

Kaunas, K. Donelaičio g. 73, LT-44249
Nemuno g. 33, 37164, Panevėžys

Institution that has carried out assessment

Studijų kokybės vertinimo centras

Institution that has performed accreditation, accreditation term

Studijų kokybės vertinimo centras, 9/1/2020

Data provided or updated (date)

3/26/2025

Order on accreditation

SV6-43
More about programme

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Summary of the Profile

Objective(s) of a study programme:

To develop automatic control, robot programming, modeling and control skills based on the application of digital intelligence from navigation to computer vision, helping to analyze and evaluate the possibilities of applying robots in the production and social spheres, model and design robotic systems.

Description of the study programme: https://admissions.ktu.edu/programme/b-intelligent-robotics-systems/

Learning outcomes:

Knowledge and its Application:

Is able to explain fundamental subjects in the field of technological sciences (mathematics, physics, mechanics, computer science, engineering graphics), which can be used to solve problems in electronics engineering;
Is able to describe basic knowledge of social sciences (philosophy, economics, management, ethics of artificial intelligence) and is able to adapt it in order to solve electronics engineering problems;
Is able to define knowledge of electrical engineering fundamentals (about electrical circuits, electromechanics, electronics, control theory, materials, work safety) and is able to apply them in practice;
Is able to select methods of numerical intelligence and able to apply them in robot control systems;
Is able to explain aspects of robotics, intelligent control systems and control of mobile and industrial robots and able to use them to solve practical problems;
Is able to select and explain scientific and mathematical principles, essential aspects and concepts in the field of robotics and cybernetics engineering, which are used for fundamental and applied research;
Is able to explain a multidisciplinary engineering context: embedded systems programming, language recognition, human-machine interface and their application features.

Special (engineering analysis and design) Skills:

Is able to apply interdisciplinary knowledge and understanding to define, formulate and solve problems in robotics engineering;
Is able to apply knowledge and understanding of robotics engineering in the analysis of robotics processes and methods and to prepare new solutions to the problem;
Is able to select and apply suitable analytical and modeling methods, computer vision and navigation methods for robotics;
Is able to apply engineering knowledge and understanding in the development and implementation of robotic systems projects;
Is able to recognize design methodologies and is able to apply systems of computer vision, navigation, computer intelligence and control systems.

Research Skills and Practical Activities:

Is able to search specific field literature, use databases and other sources of information;
Is able to perform technological experiments, evaluate data and present conclusions;
Is able to work in workshops and laboratories and use standard robot control tools;
Is able to select and apply appropriate equipment, tools and methods for robotics systems;
Is able to combine theory and practice in solving engineering problems and design robotic system;
Is able to analyze the applicability of techniques and methods and their limitations, able to organize the safe operation of a robotic system;
Is able to design and implement robotic control systems.

Personal (decision-making, lifelong learning, cooperation and teamwork) Skills:

Is able to work effectively individually and in a team, presenting their ideas and solutions to different audiences;
Is able to use legal and normative documents regulating the principles of design and implementation of technical systems; Is able to relate health and safety issues related to engineering activities and understands the responsibility for the impact of engineering solutions on society and the environment;
Is able to explain the control and business aspects of industrial and mobile robot projects, understands the connections between technological solutions and their economic consequences;
Is able to independently continuously learn and improve, formulate and achieve set goals.

Activities of teaching and learning:

The studies include classroom work (lectures, practical work, laboratory work, seminars, outgoing visits to enterprises, etc.) and individual work for mastering theoretical material, preparation for classroom work, intermediate and final assessments and performing other activities. The studies of each study module are completed by the assessment of the student’s knowledge and skills – an examination or another final assessment; the study programme is completed by the final degree project and its defence.

Methods of assessment of learning achievements:

The applied cumulative assessment system of the learning outcomes ensures constant and involving work of students during the entire semester of studies; the final evaluation of the study module consists of the sum of the grades of intermediate assessments and the final assessment multiplied by the weighting coefficients (percentages of components).

Study subjects (modules):

Classical Physics, Engineering Graphics, Ethics of Artificial Intelligence, Introduction to Control Technologies, Introduction to Programming for Engineers, Mathematics 1, Computer Drawing, Engineering Materials, Engineering Mechanics, Mathematics 2, Physics 2, Analysis of Electric Circuits 1, Kinematics, Statics and Dynamics of Robots, Software for Engineering Calculations, Theory of Probability and Statistics, Analysis of Electric Circuits 2, Applied Electronics, Electromechanics, Engineering Economics, Fundamentals of Microprocessor Systems, Automatic Control Theory, Electric Drives, Fundamentals of Intelligent Control Systems, Image Processing and Recognition, Intelligent Automation Systems and Devices, Control Systems and Programing of Robots, Modelling of Robotized Systems, Programmable Logical Controllers, Analysis and Reliability of Technical Systems, Computational Intelligence Methods, Mobile Robots, Project of Robotic System, Speech Processing Fundamentals, Work Safety, Bachelor’s Degree Final Project, Professional Internship.
Electives of Entrepreneurship Education: Fundamentals of Enterprises Accounting and Financial Management, Technology Entrepreneurship, Marketing, Fundamentals of Enterprises Management;
Electives of Philosophy and Sustainable Development: Media Philosophy, Sustainable Development;
Electives: Product Development Project;
Foreign Language Electives (Level C1): Academic and Technical Communication in English (Level C1), Academic and Technical Communication in German (Level C1), Academic and Technical Communication in French (Level C1).

Study programme abstract:

A graduate has knowledge of electrotechnics, electromechanics, electronics, automatic control, programming of robots, modelling and control of robotic
systems, image processing and recognition, computational intelligence methods, is able to analyse and evaluate the potential application of robotics, choose the hardware and software for robots, model and design robotic systems and orientation systems of robots, solve the problems of industrial and social application of robots.

Access to professional activity:

The graduate can work at the organisations of design, installation and maintenance of robotic systems, the companies applying robotic systems or developing and producing the control systems of robots or other devices.

Access to further study:

S/he has access to the second cycle studies.