13E053RA - Robotics and Automation

Course specification
Course title		Robotics and Automation
Acronym		13E053RA
Study programme		Electrical Engineering and Computing
Module
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Kosta Jovanović
Lecturer/Associate (for practice)		asst. MA Nikola Knežević, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. MA Nikola Knežević, electrical and computer engineer
ESPB		6.0	Status	elective
Condition
The goal		Basic course in this field – introduces students to key notions and concepts of robotics and manufacturing automation. Makes students capable of acquiring wider knowledge and skills in this field, either through some next course or by individual learning.
The outcome		A student has basic knowledge in robotics and manufacturing automation. This knowledge can be "final" for those who just want to introduce with the most important principles, or prerequisite for those who are interested in specialization in the field of robotics and manufacturing automation.
Contents
URL to the subject page		http://automatika.etf.rs/sr/13e053ra
URL to lectures		https://teams.microsoft.com/l/team/19%3az6MYdpZUEuTVr9rOfYIFe_t2Ql0sIkBvGpvssYMJ0eU1%40thread.tacv2/conversations?groupId=d7e9f796-d193-4e9a-ae60-251535414656&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		ROBOTICS. Key notions; Basic schemes of industrial robots: characteristics and application. Robot kinematics. and dynamics. End - effectors. Robot drives, sensors, control, programming. Motion planning. Robot applications. AUTOMATION. Material processing technology. Flexible manufacturing system: CNC machines; robots; transportation; quality control; automation of stocking. CAD/CAM systems.
Contents of exercises		Exercises on industrial robot of cylindrical configuration - UMS2. Exercises in virtual environments of laboratory for robotics and mechatronics - VLR. Seminar papers.
Literature
V. Potkonjak, Robotics, University of Belgrade. M. Kalajdžić, Technology engineering, Mechanical Engineering, Belgrade
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		Lectures, supervised preparing for lab work, supervised lab work, independent seminar papers, consultation
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	60
Practical lessons		0	Oral examination	0
Projects
Colloquia		0
Seminars		40