Event
Mechano-Informatics and Robotics [WS202400077]
Lecturers
Organisation
- IAR Asfour
Part of
Appointments
- 05.11.2020 10:00 - 11:30
- 12.11.2020 10:00 - 11:30
- 19.11.2020 10:00 - 11:30
- 26.11.2020 10:00 - 11:30
- 03.12.2020 10:00 - 11:30
- 10.12.2020 10:00 - 11:30
- 17.12.2020 10:00 - 11:30
- 07.01.2021 10:00 - 11:30
- 14.01.2021 10:00 - 11:30
- 21.01.2021 10:00 - 11:30
- 28.01.2021 10:00 - 11:30
- 04.02.2021 10:00 - 11:30
- 11.02.2021 10:00 - 11:30
- 18.02.2021 10:00 - 11:30
Note
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. To do so, we will discuss linear time-invariant systems in state.
Recommendations:
Participating in the „Basispraktikums Mobile Roboter“ is recommended.
Workload:
Lecture with 2 SWS, 4 LP.
4 LP correspond to ca. 120 hours, thereof
ca. 40 hrs. presence during lectures,
ca. 30 hrs. preparation and rework time,
ca. 50 hrs. preparation for exam.
Learning Objectives:
Based 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.