Faculty of Technical Sciences

Subject: Nonindustrial robotics and automation (17.H1503)

Native organizations units: Department of Industrial Engineering and Engineering Management
General information:
 
Category Theoretical-methodological
Scientific or art field Mehatronika, robotika i automatizacija i integrisani sistemi
Interdisciplinary Yes
ECTS 5
Educational goal:

The course objective is to introduction to new fields of non-industrial robotics (service robotics, humanoid robotics, medical robotics, etc) and automation which becomes more and more important . The additional objective is to introduce scientific and research work.

Educational outcome:

The course outcome is students ability to understand problems of non-industrial robotics and automation and to be able to take active part in this fields.

Course content:

The course consists of two parts. During the first one problems of non-industrial robotics are presented with main focus on “behaviour based robotics” which is a new way for controlling robots in non-structured environment such as human environment. Non-industrial robotics includes: overview of potential service which represents a new way of trying to control robots in an unstructured environment such as the human environment. The field of non-industrial robotics includes the following topics: overview of potential applications of service robots (in the household, construction, hazardous areas, inspection robots, rescue robots, ...), robot autonomy, management and regulation in biological systems, comparison of the "management architecture" of biological systems and autonomous robots, types of autonomous robots from the point of view of movement (robots on wheels and tracks, robots jumping, snake robots, robots flying, multi-legged and bifurcated locomotion, ...), robotic learning, grasping, humanoid robots. In the second part of the semester, the problems of automation in non-industrial applications are exposed, with a special accent on residential and business environments, with special attention being given to systems for automatic identification. The concepts of barcode system applications, optical character recognition systems, biometric systems, and smart cards and the RFID system are discussed in detail. In addition, the basics for the application of extended-reality technology in non-industrial applications are addressed.

Teaching methods:

The course is realized through lectures and practical classes and they are mandatory for all students. They also need to fulfill all requirements. Students can choose whether they will take exam in non-industrial robotics or automation in buildings. For each of these exams they need to complete a project and to defend it orally.

Literature:
Authors Title Year Publisher Language
Rodney A. Brooks Cambrian Intelligence – The Early History of the New AI 1999 A Bradford Book, The MIT Press English
Ronald Arkin Behavior-based Robotics 1998 The MIT Press, ISBN 0-262-01165-4 English
Borovac, B., Ostojić, G., Neindustrijska robotika i automatizacija - skripta 2018 FTN Serbian language
George A. Bekey Autonomous robots – From biological inspiration to implementation and control 2005 The MIT Press, ISBN 0-262-02578-7 English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Written part of the exam - tasks and theory No Yes 50.00
Project Yes Yes 50.00
Lecturers:

vanr. prof. dr Tegeltija Srđan

Associate Professor

Laboratory classes
API Image

prof. dr Raković Mirko

Full Professor

Lectures
API Image

vanr. prof. dr Nikolić Milutin

Associate Professor

Laboratory classes
API Image

vanr. prof. dr Šenk Ivana

Associate Professor

Lectures
API Image

vanr. prof. dr Šenk Ivana

Associate Professor

Laboratory classes
API Image

prof. dr Ostojić Gordana

Full Professor

Lectures
API Image

vanr. prof. dr Nikolić Milutin

Associate Professor

Lectures
API Image

prof. dr Stankovski Stevan

Full Professor

Lectures

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.