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Intelligent Robotics Systems
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Summary of the Profile
General Description: 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. Learning outcomes:
Knowledge and its Application: A1 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; A2 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; A3 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; A4 Is able to select methods of numerical intelligence and able to apply them in robot control systems; A5 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; A6 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; A7 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: B1 Is able to apply interdisciplinary knowledge and understanding to define, formulate and solve problems in robotics engineering; B2 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; B3 Is able to select and apply suitable analytical and modeling methods, computer vision and navigation methods for robotics; B4 Is able to apply engineering knowledge and understanding in the development and implementation of robotic systems projects; B5 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: C1 Is able to search specific field literature, use databases and other sources of information; C2 Is able to perform technological experiments, evaluate data and present conclusions; C3 Is able to work in workshops and laboratories and use standard robot control tools; C4 Is able to select and apply appropriate equipment, tools and methods for robotics systems; C5 Is able to combine theory and practice in solving engineering problems and design robotic system; C6 Is able to analyze the applicability of techniques and methods and their limitations, able to organize the safe operation of a robotic system; C7 Is able to design and implement robotic control systems Personal (decision-making, lifelong learning, cooperation and teamwork) Skills: D1 Is able to work effectively individually and in a team, presenting their ideas and solutions to different audiences; D2 Is able to use legal and normative documents regulating the principles of design and implementation of technical systems; D3 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; D4 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; D5 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, consultation 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.
The study methods of active learning, such as design (programming), design thinking, challenge-based learning, creative workshops, group work, experiential learning, discussion, problem-based learning, reflective learning, idea (mind) mapping, etc. are applied to encourage the active participation and creativity of students in the study process. The achievements are assessed using the traditional assessment methods, such as laboratory examination, assignments, laboratory or project report, as well as other methods: work or competency file (portfolio), problem-solving task, engineering project, reflection on action, self-assessment, etc. 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). The number of intermediate assessments and their expression in percentage are chosen by the study module’s coordinating lecturer. Besides the usual forms of assessment (for example, examination, oral presentation, project report, laboratory examination), an additional form of assessment “Assessment of student activity (level)” may be applied (up to 10% of the final grade) for the assessment of the student’s preparation for case analysis, an active discussion, participation in debates, etc. Framework: Study subjects (modules), practical training: Analysis and Reliability of Technical Systems, Analysis of Electric Circuits 1, Analysis of Electric Circuits 2, Applied Electronics, Automatic Control Theory, Bachelor’s Degree Final Project, Classical Physics, Computational Intelligence Methods, Computer Drawing, Control Systems and Programing of Robots, Electric Drives, Electromechanics, Engineering Economics, Engineering Graphics, Engineering Materials, Engineering Mechanics, Ethics of Artificial Intelligence, Fundamentals of Digital and Microprocessor Systems, Fundamentals of Intelligent Control Systems, Image Processing and Recognition, Intelligent Automation Systems and Devices, Introduction to Control Technologies, Introduction to Programming for Engineers, Kinematics, Statics and Dynamics of Robots, Mathematics 1, Mathematics 2, Mobile Robots, Modelling of Robotized Systems, Physics 2, Professional Internship, Programmable Logical Controllers, Project of Robotic System, Software for Engineering Calculations, Speech Processing Fundamentals, Theory of Probability and Statistics, Work Safety. Specialisations: - Optional courses: Electives of Entrepreneurship Education 2024: Fundamentals of Enterprises Accounting and Financial Management, Technology Entrepreneurship, Marketing, Fundamentals of Enterprises Management; Electives of Philosophy and Sustainable Development 2024: Media Philosophy, Sustainable Development; Electives: Product Development Project; Foreign Language Electives (Level C1) 2024: Academic and Technical Communication in English (Level C1), Academic and Technical Communication in German (Level C1), Academic and Technical Communication in French (Level C1); Optional Subjects 2024. Distinctive features of a study programme: 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 or further study: 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.
