Course detail

Virtual Reality

FSI-V0RAcad. year: 2022/2023

The subject will provide knowledge for students in area of theoretical
basics and practical implementation of virtual reality (VR) and augmented reality (AR).
Student will learn to transfer digital 3D model into virtual or real scene
and further work with it. Used are known environments Unity for VR and Vuforia for AR.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. Ing. Pavel Škrabánek, Ph.D.

Department

Institute of Automation and Computer Science (ÚAI)

Learning outcomes of the course unit

Obtaining a qualified overview and references on contemporary technologies of Virtual Reality (VR) and Augmented Reality (AR) including practical skills.

Prerequisites

basics of computer graphics, basics of algoritmization and programming

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught in the form of lectures, which are an explanation of the basic principles and theory of the discipline. Teaching is complemented by laboratory exercises, where the theoretical knowledge gained from lectures is practically verified.

Assesment methods and criteria linked to learning outcomes

Classified credit according to ECTS will be obtained by student
for solving four projects from four thematic blocks discussed in exercises.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Student will understand and will be oriented in the area of virtual reality (VR) and augmented reality (AR). The student will be able to utilize these tools and design solutions in context of industry practice and Industry 4.0.

Specification of controlled education, way of implementation and compensation for absences

Attendance at lectures is recommended, attendance at seminars is required. It is at the teacher's discretion to decide how to make up for missed seminars.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

MIHELJ, Matjaž; NOVAK, Domen; BEGUŠ, Samo. Virtual reality technology and applications. 2014. (EN)
SCHMALSTIEG, Dieter; HOLLERER, Tobias. Augmented reality: principles and practice. Addison-Wesley Professional, 2016. (EN)

Recommended reading

PARISI, Tony. Learning virtual reality: Developing immersive experiences and applications for desktop, web, and mobile. " O'Reilly Media, Inc.", 2015. (EN)

Classification of course in study plans

  • Programme N-AIŘ-P Master's 2 year of study, summer semester, elective

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

Ing. Tomáš Hůlka, Ph.D.
Ing. Radek Poliščuk, Ph.D.

Syllabus

1. Introduction into virtual and augmented reality (VR, AR).
2. Sensors and displays for VR, system latency I.
3. Sensors and displays for VR, system latency I.
4. Applications of VR in Industry 4.0
5. ABB Robot studio and its options.
6. Trends in utilization of engines for VR application development (Unity, UE, CryTek) I.
7. Trends in utilization of engines for VR application development (Unity, UE, CryTek) I.
8. Augmented and mixed reality I.
9. Augmented and mixed reality II.
10. Application of mixed reality in industry diagnostics and maintenance.
11. Operators training and simulation of critical states.
12. User interfaces in VR.
13. Summary and future of VR a AR.

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Tomáš Hůlka, Ph.D.

Syllabus

Exercises are divided into four thematic blocks:

Block A: Introduction, Hardware demonstrations (headsets, motion sensors, feedback and latency, calibration, VR applications examples)

Block B: ABB Robot Studio ( programming of robot motion in VR, simulation of robotic assembly line, digital twin visualization)

Block C: The Unity environment (modeling of environment and integration of VR observer,
model of robot, kinematics of robot model, connection with dynamic simulation)

Block D: Mixed reality and Vuforia (combination of Unity and Vuforia for creation, detection of printed 2D code and augmenting the image with 3D model,
detection of 3D object and 3D model rendering).