13E053RA - Robotics and Automation

Course specification
Course title Robotics and Automation
Acronym 13E053RA
Study programme Electrical Engineering and Computing
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition -
The goal Basic course in the field of robotics – introduces students to key notions and concepts of robotics with an accent on industrial robots. The course objective is to makes students capable to understand geometry, kinematics, dynamics, path planning, control and programming industrial robots. Application of basic theoretical concepts on simulation models and real industrial robots.
The outcome A student will gain fundamental knowledge in programming industrial robots as a part of automated systems or planning of production processes using robots. 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.
URL to the subject page
URL to lectures
Contents of lectures Introduction to robotics. Basic configurations and industrial applications. Kinematics, DH notations, homogeneous transformation, direct and inverse kinematics problem, Jacobian. Static and dynamic analysis. Newton-Oilers and Lagrange formulation. Basic subsystems: actuators, gears, sensors, controllers. Fundamental control algorithms and concepts of programming industrial robots.
Contents of exercises Exercises on conventional industrial robots ABB IRB120 (software ABB Robot Studio), Denso VS6577 (software Wincaps) and industrial robot of cylindrical configuration - UMS2. Exercises in the virtual environment of laboratory for robotics from the School of Electrical Engineering.
  1. B. Borovac, G. Đorđević, M. Raković, M. Rašić, Industrial Robotics
  2. B. Siciliano, L. Sciavicco, L. Villani, G. Oriolo, Robotics: Modeling, Planning and Control (Original title)
  3. Operation guide - ABB Robot Studio and Denso Wincaps III
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, exercises, lab work, project, homework.
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 70
Practical lessons 0 Oral examination 0
Projects 30
Colloquia 0
Seminars 0