Modeling and Control of Robotics Manipulators / Modellierung und Regelung von Robotern
Module
Module MA A&R : AR-106
Modul MA ET : 2-25
Modul MA SES : 2-25
Hours and Credits
- 2 hours lecture, 2 hours practical training (bi-weekly)
- 5 credits
- course language : english
Registration
The registration takes place via LSF
The Event number is 080125
Lecturer
apl. Prof. Dr. rer.nat. Frank Hoffmann
Topics
- Spatial transformations
- Forward and inverse kinematics
- Differential kinematics
- Inverse kinematics algorithms
- Robot dynamics
- Robot motion control
- Robotics System Toolbox and Robot Operating System (ROS)
Competencies
Upon successful completion of the module, students possess advanced and specialized knowledge in the modeling, analysis, and control of robotic systems. They understand the mathematical and systems-theoretic foundations of spatial transformations, kinematic and dynamic models, as well as modern motion and control methods, and are able to formally describe and critically analyze these concepts.
Students are able to independently abstract complex problems in robotics, select appropriate modeling and control approaches, and methodically design, implement, and evaluate them. They can apply forward, inverse, and differential kinematics as well as dynamic models to systematically develop and analyze control strategies for robotic systems. In doing so, they make use of suitable tools and software environments such as the Robotics System Toolbox and the Robot Operating System (ROS).
Furthermore, students are capable of comparatively assessing different modeling and control approaches, evaluating their underlying assumptions, performance, and limitations, and making well-founded technical decisions. They can independently study scientific literature, classify current methods, and use them as a basis for further development, research, or application-oriented tasks.
In line with the qualifications framework at the master’s level, students additionally develop the ability to work independently, critically reflect on complex technical relationships, and clearly justify and communicate their results.
