Modern trends in robotics

Modern trends in robotics

1.

Subject title

Modern trends in robotics

Модерни трендови во роботика

2.

Code

F23L3S132

3.

Study program

Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Интернет, мрежи и безбедност, Информатичка едукација, Компјутерско инженерство, Software engineering and information systems, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Software engineering and information systems, Стручни студии за програмирање, Стручни студии за програмирање,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Прв циклус

6.

Academic year / semester

4 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Невена Ацковска

9.

Prerequisites for enrollment

Оперативни системи

10.

Subject goals and competencies:


Students will be introduced to modern trends in robotics. They will be introduced to modern techniques of modeling the environment, in which robots are becoming everyday visitors. Students will gain knowledge of current trends in robotics such as human-robot interaction, nanorobotics, biologically inspired robots, robotic manufacturing processes, robotics as assistive technology and other trends.

11.

Subject content:


Introduction to the modern topics in robotics. Robotic components. Robotic environment. Locomotion in modern robots. Formal definitions. Sensing the environment. Sensory - robotic systems. Measurement and Uncertainty. Management paradigms. Learning and Cognition. Conduct. Robotics and emotions. Human - robot interaction. Evolution - between robotics and biology

12.

Learning methods:


Предавања, вежби, самостојна работа, проектни задачи, семинарски работи

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

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

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

15 hours

16.2.

Independent tasks

15 hours

16.3.

Homework

75 hours

17.

Grading method

17.1.

Tests

10 points

17.2.

Seminar work / project (presentation: written and oral)

15 points

17.3.

Activities and learning

10 points

17.4.

Final exam

50 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.

Condition for signature and taking final exam

реализирани 15.1 и 15.2

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

No.

Author

Title

Publisher

Year

1989

Kevin M. Lynch, Frank C. Park

Modern Robotics: Mechanics, Planning, and Control

Cambridge University Press

2017

1990

Constantinos Mavroidis Antoine Ferreira

NanoRobotics: Current Approaches and Techniques

Springer

2012

1991

Diana Coleman

Human-Robot Interactions : Principles, Technologies and Challenges

Nova Science Publishers Inc

2015

1992

Danny Staple

Learn Robotics Programming: Build and control autonomous robots using Raspberry Pi 3 and Python

Packt Publishing

2018

1993

Tiffany J. Hwu, Jeffrey L. Krichmar

Neurorobotics: Connecting the Brain, Body, and Environment

The MIT Press

2022

1994

Lucille Alvarado

Rehabilitation Robotics: Technology and Applications

STATES ACADEMIC

2022

22.2.

Additional literature

No.

Author

Title

Publisher

Year