UINK122 Basics of Robotics

Faculty of Philosophy and Science in Opava
Winter 2015
Extent and Intensity
0/0. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. Ing. Petr Čermák, Ph.D. (seminar tutor)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
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
The subject Basics of Robotics is for students who are interested in scope of artificial intelligence and rapidly developer field of robotics.
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. 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 robots, 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.)
    5. Actuators of robots and other related hardware (servomotors, GPS modules, gyroscopes, etc.)
    6. Main board with accessories needed to input processing and output generating to operation of actuators
    7. Robots programming (programming languages Scheme and C++)
    8. Humanoid robots (similar to a human with sensors and actuators)
    9. Automotive robots (robots with belt or wheel arrangement)
    10. Flying robots (single rotor, dual rotor helicopters, quadcopters). Insect robots.
    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).
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Credit
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Cvičení 6 HOD/SEM.
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 2012, Winter 2013, Winter 2014.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2015/UINK122