Applied Robotics
| Degree programme | Mechatronics |
| Subject area | Engineering Technology |
| Type of degree | Master full-time |
| Type of course unit (compulsory, optional) | Compulsory optional |
| Course unit code | 024612030301 |
| Teaching units | 60 |
| Year of study | 2025 |
| Name of lecturer(s) | Matthias PLONER, Ralph HOCH, Robert AMANN |
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