Autonomous robotics

Course title

Autonomous robotics

Code

F18L3W072

Study programme

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Organizer of the study programme (unit, institute, department)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First cycle

Academic year / semester

7 / Winter

Number of ECTS credits

Teacher

—

Prerequisites for enrolling in the course

Основи на роботика

10.

Course objectives (competences)

After finishing this course, the student is expected to have advanced knowledge in the development of autonomous robotics systems (autonomous vehicles, drones etc.) by using probabilistic approaches in robotics.

11.

Course content

Sensors and actuators in autonomous robots, mathematical principles, probabilistic sensor models, probabilistic control models, kalman filters and implementations of kalman filters, mapping, localization, simultaneous localization and mapping, planning and learning methods used by intelligent robotic systems.

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, exercises (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defense of a project assignment, learning in an electronic environment (forums, consultations).

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of the available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures – theoretical teaching	30 hours
15.2.	Exercises (laboratory, auditory), seminars, team work	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Individual assignments	15 hours
16.3.	Home study	75 hours

17.

Grading

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activity and participation	10 points
17.4.	Final exam	70 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirements for signature and taking the final exam

Regular attendance in class, timely submission of homework, and presentation of the project assignment.

20.

Language of instruction

Macedonian

21.

Method of monitoring teaching quality

internal evaluation and survey mechanism

22.

Literature