The results of the exam Mechano-Informatics and Robotics of July 24, 2019 are on display at the chair of Prof. Asfour, Geb. 50.20 (old children's clinic), ground floor.
The exam inspection will take place on August 13, 2019 from 10:00 - 12:00 in building 50.20 (Adenauerring 2), 1st floor, room 148.
If you have any questions, please contact mechano-informatics@lists.kit.edu
Content
The 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. Linear time-invariant systems and their state-space representation are discussed. 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 for classification and machine learning. Applications and approaches addressing current problems in robotics are discussed, such as grasping, walking, visual and tactile servoing, and the classification of demonstrated actions.
Workload
2h/week Attendance +
2*2h = 4h/week Preparation and post-processing +
30h Exam preparation
=120h
Aim
Based on the example of robotics, students understand the synergistic effects and interdisciplinarity of mechatronics and informatics, embedded systems, control, and the underlying 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 field 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 with a deeper understanding and application-oriented skills regarding the topics of the lecture allowing them to implement solutions to the presented problems using MATLAB.
Exam
Written exam (1h)
