UIINFNP012 UAV - Autonomous Platforms

Faculty of Philosophy and Science in Opava
Winter 2025
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Jiří Knapek (lecturer)
RNDr. Jiří Martinů, Ph.D. (lecturer)
Mgr. Jiří Knapek (seminar tutor)
Guaranteed by
RNDr. Jiří Martinů, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable
Wed 14:45–16:20 LEI
  • Timetable of Seminar Groups:
UIINFNP012/A: each even Friday 13:05–16:20 LEI, J. Knapek
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives

This course is focused on perspective field of UAV (Unmanned Autonomous Vehicles) which represents one of part of robotics. Students will learn to understand the basic concepts of the UAV systems and to distinguish individual platforms and their components in terms of the hardware used. Furthermore, they will learn the basic algorithms, procedures and development tools that can be used to create UAV control software, using the principles of multi-agent systems.

Learning outcomes

After completing the course, the student will be able to:

  • explain basic concepts in the field of UAV systems,
  • describe the architecture of UAV systems and their main hardware components,
  • distinguish different UAV platforms and their applications from a hardware perspective,
  • characterize basic algorithms and procedures used in UAV control,
  • describe the principles of multi-agent systems and their application in UAV systems,
  • apply selected algorithms and methods in the design of UAV control software,
  • use development tools for the creation and testing of UAV software systems,
  • design a basic architecture of a UAV control system using multi-agent system principles,
  • analyze the hardware configuration of a UAV platform and assess its suitability for a given task,
  • solve technical problems related to the design and implementation of UAV systems.

Syllabus

1. UAV platforms - classification and security.

2. Mechanical structure of UAV and mechanical parts.

3. Electro-mechanical parts of UAV platforms.

4. RC set, connection, functions and using.

5. Sensors and their technologies used for UAV construction.

6. Communication protocols with intelligent sensors (ultrasound, sensors, GPS, camera, gyroscope, magnet, speed

sensor, etc.).

7. Gyroscopes and systems for automatic control of RC models.

8. Suitable C PU boards to control.

9. SW structure of UAV as subsumption architecture of an autonomous agent.

10. Real-time image analysis to interaction mode agent-environment.

11. Multi-agent UAV platforms.

12. Using UAV in practice (army, navy, medicine, etc.).

Literature
    required literature
  • Novák, D. UAV autonomous systems. Opava, 2012. URL info
    recommended literature
  • VALAVANIS, K. P. Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy In: Intelligent Systems, Control and Automation: Science and Engineering. Berlin, 2007. ISBN 978-1-4020-6. info
  • VÁŇA, V. ARM pro začátečníky. Praha, 2009. ISBN 978-80-7300-246-6. info
  • NONAMI, K. Autonomous flying robots: unmanned aerial vehicles and micro aerial vehicles. New York: Springer, 2010. ISBN 978-4-431-53855-4. info
  • NOVÁK, Petr. Mobilní roboty: pohony, senzory, řízení. Praha: BEN - technická literatura, 2005. ISBN 80- 7300-141-1.
  • ZELINKA, Ivan. Umělá inteligence: hrozba nebo naděje?. Praha: BEN - technická literatura, 2003. ISBN 80- 7300-068-7.
  • FAHLSTROM, Paul Gerin a Thomas James GLEASON. Introduction to UAV systems. 4th ed. Chichester: John Wiley, 2012. Aerospace series. ISBN 978-1-119-97866-4.
  • TSOURDOS, Antonios, Brian WHITE a Madhavan SHANMUGAVEL. Cooperative Path Planning of Unmanned Aerial Vehicles. Hoboken, N.J.: Wiley, 2011. ISBN 978-0-470-74129-0.
Teaching methods
Lectures, discussions, exercises, case studies.
Assessment methods

* 75% attendance at exercises, active participation

* 30 points for seminar paper, 70 points for exam, minimum total of 51 points

Language of instruction
Czech
Further Comments
Study Materials
The course is also listed under the following terms Winter 2021, Winter 2022, Winter 2023, Winter 2024.
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