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Secretary
Institute for Anthropomatics and Robotics; High Performance Humanoid Technologies, Chair Prof. Asfour
Adenauerring 2, Building 50.20
76131 Karlsruhe

Phone: +49 721 608-48277

Email: sekretariat asfour does-not-exist.anthropomatik kit edu

Mechano-Informatics and Robotics

Mechano-Informatics and Robotics
type: Vorlesung (V)
semester: WS 16/17
time: 2016-10-20
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten


2016-10-27
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2016-11-03
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2016-11-10
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2016-11-17
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2016-11-24
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2016-12-01
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2016-12-08
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2016-12-15
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2016-12-22
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2017-01-12
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2017-01-19
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2017-01-26
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2017-02-02
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten

2017-02-09
09:45 - 11:15 wöchentlich
50.34 Raum -102 50.34 INFORMATIK, Kollegiengebäude am Fasanengarten


lecturer: Prof.Dr.Ing. Tamim Asfour
Ömer Terlemez
sws: 2
ects: 4
lv-no.: 2400077
Content of teachingThe lecture addresses various engineering and algorithmic aspects and topics in robotics which are illustrated and explained based on examples originating from current research conducted in the field of humanoid robotics. First, this lecture gives an introduction into the mathematical fundamentals which are needed to describe a robotic system as well as the basic algorithms commonly applied in motion planning.

Subsequently, models and methods are introduced with which dynamical systems can be formalized and which can be used to encode and represent robot actions. To do so, we will discuss linear time-invariant systems in state space as well as non-linear systems described as a set of differential equations which are driven by canonical systems. Further topics are the fundamentals of computer vision in robotics, the perception, exploration, and classification of objects using haptics, and the basics of neural networks. Applications and approaches are presented which address current problems in robotics such as grasping, walking, visual and tactile Visual Servoing, and the classification of actions.

Workload2h Präsenz

+ 2*2h = 4h Vor/Nachbereitung

+ 30h Prüfungsvorbereitung

120h

AimBased on the example of robotics students understand the synergistic effects and interdisciplinarity of mechatronics and informatics, the embedded systems, the control, and the methods and the algorithms. They are acquainted with the basic terminology and the methods which are common in robotics, signal processing, action representation, machine learning and cognitive systems. They are capable of applying fundamental state-of-the-art methods and tools for the development and programming of robots. Based on examples originating from current research conducted in the fields of humanoid robotics, the students interactively learn how to identify and formalize problems and tasks and how to develop solutions in an analytical and goal-directed way. The lecture is accompanied by practical assignments which provide the students a deeper understanding and application-oriented skills regarding the topics of the lecture allowing them to implement solutions in MATLAB for the presented problems.
Exam descriptionDie Erfolgskontrolle wird in der Modulbeschreibung erläutert.