UIAI052 Robotics and Drones

Faculty of Philosophy and Science in Opava
Winter 2022
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Jiří Martinů, Ph.D. (lecturer)
RNDr. Jiří Martinů, Ph.D. (seminar tutor)
Guaranteed by
RNDr. Jiří Martinů, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable
Tue 16:25–18:00 LEI
  • Timetable of Seminar Groups:
UIAI052/A: Tue 18:05–19:40 LEI, J. Martinů
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
Syllabus
  • The aim of the subject is to acquaint students with this scope, its history, basic terms, algorithms and also other scopes which are closely related to robotics and UAVs. Students also will be acquainted with some types of robots and their hardware equipment such as servomotors, gyroscopes, cameras, main boards, etc.). In case of practical part of the subject students will be also acquainted with construction of UAVs, their software implementation followed by configuration and programming.
    1. Basic of robotics (terms, history and development of robotics)
    2. Related scopes to robotics (cybernetics, artificial intelligence, etc.)
    3. Using robots in practice (industry, army, medicine, cosmology, etc.)
    4. Sensors of robots (sensor, camera, etc.), Actuators of robots and other related hardware (servomotors, GPS modules, gyroscopes, etc.)
    5. Main board with accessories needed to input processing and output generating to operation of actuators, Robots programming (programming languages Scheme and C++)
    6. Humanoid robots (similar to a human with sensors and actuators)
    7. Automotive robots (robots with belt or wheel arrangement)
    8. Flying robots (single rotor, dual rotor helicopters, quadcopters). Insect robots.
    9. UAV platforms - classification and security
    10. Mechanical structure of UAV and mechanical parts, Electro-mechanical parts of UAV platforms, RC set, connection, functions and using
    11. Basic algorithms used in robotics, e.g. Breitenberg´s algorithm to robot motion in 3-D space, basic algorithms of multi-agent systems behavior (stigmergy), Multi-agent UAV platforms.
Literature
    required literature
  • Novák, D. UAV autonomous systems. Opava, 2012. URL info
    recommended literature
  • NONAMI, K. ? KENDOUL, F. ? SUZUKI, S. ? WANG, W. ? NAKAZAWA, D. Autonomus Flying Robots, Unmanned Aerial Vehicles and Micro Aerial Vehicles. Berlin, 2010. ISBN 978-4-431-53855-4. info
  • VÁŇA, V. ARM pro začátečníky. Praha, 2009. ISBN 978-80-7300-246-6. info
  • 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
  • BEKEY, G. Autonomous robots: from biological inspiration to implementation and control. MIT, 2005. ISBN 978-0-262-02578-2. info
  • NOVÁK, P. Mobilní roboty. Praha, 2005. ISBN 80-7300-141-1. info
  • SIEGWART, R. ? NOURBAKHSH, I. ntroduction to autonomous mobile robots. MIT, 2004. ISBN 978-0-262-19502-. info
  • ZELINKA, I. Umělá inteligence: Hrozba nebo naděje? Praha, 2003. ISBN 80-7300-068-7. info
  • ARKIN, R. Behavior-Based Robotics (Intelligent Robotics and Autonomous Agents). MIT, 1998. ISBN 978-0-262-01165-5. info
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Credit
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
Teacher's information
* 75% attendance in exercises, active participation
* written test in the extent of the given literature and the content of seminars 70 points
* practical programming of selected algorithms in robotics 30 points
* success rate 60 %
The course is also listed under the following terms Winter 2016, Winter 2017, Winter 2018, Winter 2019, Winter 2020, Winter 2021.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2022/UIAI052