Manufacturing Automation

Holders: Assist. Prof. Bračun Drago

Subject description

Prerequisites: English language, basic understanding of physics, mechanics and electrictricity.

Content (Syllabus outline):

  • Introduction: motivation: efficiency, variability; types of automation (fixed, flexible, programmable), automation migration strategy. Basic building blocks: sensors, actuators, controllers, industrial data communications, user interfaces.
  • Robotic systems: robot specification, integration, end effectors, external sensors, typical applications.
  • Numerically controlled systems, structure, characteristics, and calculation of NC drive.
  • Automation of material flow, basics, rails, belts, AGV systems.
  • Localization, review of contact and contactless methods, localization for CNC systems, localization of objects with random poses.
  • Systems for monitoring and control of production systems, SCADA, MES, monitoring systems, industrial internet of things. Automatic identification and data capture: overview, bar and QR code, RFID.
  • Process and product control: variability, 100% vs. sampling control, process management and control. Automated inspection devices: contact inspection methods, contactless inspection methods. -Imaging systems in automation: illumination and light effects, camera and lens selection, image sampling and aliasing. Specifics of image processing at dimensional part inspection, detection of surface defects, part localization, seam tracking. Imaging systems calibration: camera model, calibration and image correction, calculation of 3D space coordinates. Example applications of imaging systems in automation: dimension inspection, surface defect detection, seam tracking.
  • Performance of automation systems.


  • Understand the use of automation to improve productivity and reduce variability in production.
  • Understand the integration of basic mechatronic components in automated systems.
  • Understand the basic methods of localization and product identification.
  • Understand the synthesis of measuring and mechatronic systems in automated control devices.
  • Understand the use of machine vision in product automation and inspection.
  • Understand the definition of performance and security of automated systems.

The use of avtomation to improve productivity and reduce variability in production.
Integration of mechatronic components in automated systems.
Understanding the basic methods of localization and product identification.
Development of inspection devices.
Use of machine vision.
Ability to analyse performance and security in automated systems.

Learning and teaching methods:
Lectures: Auditorium lectures using modern and well-established audio-visual techniques.
Participation of experts from the industry and internationally established researchers.
Exercises: laboratory exercises. Practical work in scope of the seminar.

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