Information on individual educational components (ECTS-Course descriptions) per semester

Robotics and Assembly Technologies

Degree programme Mechatronics
Subject area Engineering Technology
Type of degree Bachelor
Winter Semester 2024
Course unit title Robotics and Assembly Technologies
Course unit code 024515055202
Language of instruction English
Type of course unit (compulsory, optional) Compulsory
Teaching hours per week 3
Year of study 2024
Level of the course / module according to the curriculum
Number of ECTS credits allocated 4
Name of lecturer(s) Robert AMANN, Michael EBERLE, Ralph HOCH, Philipp STEURER, Markku Tapani STRÖM
Requirements and Prerequisites

No specific prerequisites

Course content

Industrial Image Processing and Robotics

industrial image processing: application areas, sampling and quantization, histogram, point operations, linear filters, morphologic filters, connected components labeling, edge detection, template matching, object features.

robotics: basic elements of an industrial robot, types of robots and typical applications, coordinate frames, coordinate transformations, joint space, task space, trajectories, motion instructions, robot programming


basics of pneumatics, symbols, generation of pressured air, pneumatic controls, electro-pneumatics, differences between pneumatic and hydraulic systems

laboratory exercises: pneumatic and electro-pneumatic control of a cylinder, sequential control for a transfer station.

Virtual Commissioning and Digital Manufacturing

basics of virtual commissioning, hardware-in-the-loop, software-in-the-loop, communication in factory automation, SCADA


laboratory exercises: implementation of a simple digital twin, virtual commissioning, SCADA

Learning outcomes

Industrial Image Processing and Robotics

  • The students know application areas of industrial image processing systems.
  • The students can describe example image processing algorithms for image preprocessing and image segmentation.
  • The students can list different types of robots and its application areas.
  • The students can explain the components of a robot system.
  • The students know how to use coordinate frames for planning a robot task.
  • The students can describe different robot motion types in joint space and task space.
  • The students can program simple motion instructions.


  • The students know the basic symbols of pneumatic systems.
  • The students can explain main components of pneumatic systems.
  • The students are able to develop and operate pneumatic sequence controls for industrial automation purposes.

Virtual Commissioning and Digital Manufacturing

  • The students know goals and characteristics of simulation in the field of factory automation.
  • The students can implement simple virtual commissioning systems.
  • The students can implement simple SCADA systems.
Planned learning activities and teaching methods

Lectures, pneumatics lab, programming exercises with virtual systems

Assessment methods and criteria
  • Written examination (40%, must be passed), industrial image processing and robotics
  • Written examination (40%, must be passed), pneumatics
  • Written examination (20%, must be passed), virtual commissioning and digital manufacturing

For a positive grade, a minimum of 50 % of the possible points must be achieved in each part of the examination.


Not applicable

Recommended or required reading
  • Demant, Christian et al. (2013): Industrial Image Processing. Berlin: Springer.
  • Craig, John C. (2005): Introduction to Robotics: Mechanics and Control. Upper Saddle River, NJ: Pearson Prentice Hall.
  • Featherstone, Roy (2016): Rigid Body Dynamics Algorithms. Springer Publishing Company, Incorporated.
  • Yanez, F., Brea, F.Y. (2017): The 20 Key Technologies of Industry 4.0 and Smart Factories: The Road to the Digital Factory of the Future. Independently Published.
Mode of delivery (face-to-face, distance learning)