Institute of Neural Information Processing
- 1:
Members. - 2:
Research.- 2.1:
Artificial Neural Networks . - 2.2:
Neurobotics .- 2.2.1:
Research. - 2.2.2:
People. - 2.2.3:
Labs and Robots. - 2.2.4:
Teaching.- 2.2.4.1:
Einführung in die Robotik. - 2.2.4.2:
Kybernetik. - 2.2.4.3:
Projekt-Lernende Roboter.
- 2.2.4.1:
- 2.2.5:
Publications. - 2.2.6:
Diploma/ Master/Bachelor These. - 2.2.7:
News/Jobs . - 2.2.8:
Pictures/Videos. - 2.2.9:
Contact .
- 2.2.1:
- 2.3:
Computer and Biological Vision. - 2.4:
AG Bioinformatics and Systems Biology. - 2.5:
Biological Neural Networks. - 2.6:
Publications. - 2.7:
Ph. D. Theses . - 2.8:
Projects.
- 2.1:
- 3:
Teaching. - 4:
Kompetenzzentren. - 5:
SFB-TR62. - 6:
Intern.

Teaching
The primary aim of Neurobotik is not to “produce” robotics engineers, who come generally from a more traditional engineering or computer science background. Instead, the intention is to use robotics as a stimulating and enjoyable scenarios to test and teach number of research issues: robotics, learning in robotics, modelling, recurrent neural networks, reinforcement learning, and system theorie.
Veranstaltungen
• Einführung in die Robotik (V+Ü, 2+2 SWS, 6 LP)
• Kybernetik (V+Ü) 2+2 SWS, 6 LP)
• Projekt- Lernende Roboter (Praktika WiSe +SoSe)
Inhalte
Einführung in die Robotik (V+Ü, 2+2 SWS, 6 LP)(Wintersemester)
Dozent:
Dr. Mohamed Oubbati
- Einsatzgebiete der Robotik
- Grundbestandteile eines Roboters
- Kinematik
- Bewegungsregelung
- Navigation
Kybernetik (V+Ü, 2+2 SWS, 6 LP) (Sommersemester)
Dozent:
Dr. Mohamed Oubbati
- Beschreibung dynamischer Systeme.
- Fourier-und Laplacetransformation.
- Eigenschaften von Übertragungsfunktionen.
- Regelkreis und Reglerentwurf.
- Regelung in der Robotik.
- Systemidentifikation.
Projekt- Lernende Roboter (Wintersemester und Sommersemester)
