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

Applied Robotics

Degree programme Mechatronics
Subject area Engineering & Technology
Type of degree Master
Full-time
Winter Semester 2024
Course unit title Applied Robotics
Course unit code 024612030301
Language of instruction German, English
Type of course unit (compulsory, optional) Compulsory optional
Teaching hours per week 4
Year of study 2024
Level of the course / module according to the curriculum
Number of ECTS credits allocated 6
Name of lecturer(s) Robert AMANN, Ralph HOCH, Matthias PLONER
Requirements and Prerequisites

Robotics and Control

Course content

This course deals with following topics in robotics:

  • robot kinematics and dynamics
  • robot simulation
  • 3D image processing.

Expected results are defined, concepts developed and implemented in the automation laboratory working off a complete development process.

Learning outcomes

Objectives of this course are gaining knowledge of methods, simulation techniques and tools for solving complex tasks in robotics as well as acquiring competence to apply theoretical knowledge in advanced topics to assignments in the field of robotics and 3D image processing.

Planned learning activities and teaching methods

Seminar and laboratory

Assessment methods and criteria

Exam (40%, must be passed) and

Project (60%, must be passed).

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

Comment

Not applicable

Recommended or required reading
  • Craig, John J. (2018): Introduction to Robotics: Mechanics and Control. London: Pearson/Prentice Hall.
  • Gonzalez, Rafael C.; Woods, Richard E. (2018): Digital Image Processing. 4th edition. New York: Pearson.
  • Hartley, Richard; Zisserman, Andrew (2003): Multiple View Geometry in Computer Vision. Cambridge: Cambridge University Press.
Mode of delivery (face-to-face, distance learning)

Face-to-face