Specialized knowledge in the field of design and realization of industrial automation with embedded elements of artificial / machine intelligence and autonomous behavior, focused to various research topics in the domain of mass customization manufacturing paradigm.

Practical knowledge and skills in modeling and simulation of dynamical systems. Skills in application of fuzzy logical systems and neural networks in modeling and practical realization of complex systems that have autonomous behavior and capability to work in non-well structured working environment.

Modeling and simulation of complex dynamical systems. Fundamentals of selforgnized and selfreproducing systems. Interaction with non-well structured/defined environment – cognitive systems, adaptivity, learning and machine intelligence. Fundamentals of mathematical pattern recognition. Fuzzy-dynamic formal structures, fuzzy inference machines. Connectionism and parallel processing through neural networks of various topology. Industrial control systems with embedded adaptive and intelligent behavior. Intelligent human-machine interfaces. Industrial standards related to intelligent devices and systems. Basics of intelligent manufacturing systems.

Practical teaching is mostly governed by the needs of the student in his doctoral dissertation and takes place in the laboratory.

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Laboratory for CyberManufacturing Systems at the Department of Production Engineering has extensive experimental resources, which include industrial robots, various sensory and actuation systems, as well as development systems for microcontrollers and related digital systems.

Total assigned hours: 65

New material: 40
Elaboration and examples (recapitulation): 10

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 10
Review and grading of the project: 0
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 0
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 70
Project: 0
Final exam: 30
Requirement for taking the exam (required number of points): 30

Pilipović M., Jakovljević, Ž, Manufacturing automation, ISBN: 978-86-7083-927-4, FME, Belgrade, 2017 (in Serbian); Jakovljević Ž., Petrović P. B., Contact states recognition in robotized assembly, FME, Belgrade 2011 /In Serbian/