Modulcode: | infProRo-01a |
Englische Bezeichnung: | Probabilistic Robotics |
Modulverantwortliche(r): | Prof. Dr. Kevin Köser |
Turnus: | unregelmäßig (WS23/24) |
Präsenzzeiten: | 3V 1Ü |
ECTS: | 5 |
Workload: | 45 Std. Vorlesung, 15 Std. Präsenzübung, 90 Std. Selbststudium |
Dauer: | ein Semester |
Modulkategorien: | BSc-Inf-WP (BSc Inf (21)) BSc-WInf-WP-Inf (BSc WInf (21)) MSc-Inf-WP (MSc Inf (21)) 2F-MA-Inf-WP (2F-MA Inf (21)) MSc-WInf-WP-Inf (MSc WInf (21)) |
Lehrsprache: | Englisch |
Voraussetzungen: |
This course will introduce the key challenges, basic concepts and techniques connected to the field of mobile robotics. As robot perception is uncertain, key tasks involve estimating and representing the robot's state (e.g. its current position) and the surrounding's state (e.g. a map of the world) using probabilistic approaches, as well as techniques (e.g. path planning) to reach a goal.
Understanding
This course will introduce the key challenges, basic concepts and techniques connected to the field of mobile robotics. As robot perception is uncertain, key tasks involve estimating and representing the robot's state (e.g. its current position) and the surrounding's state (e.g. a map of the world) using probabilistic approaches, as well as techniques (e.g. path planning) to reach a goal. Topics include
The class will follow the approaches described in the book Probabilitic Robotics, see also http://probabilistic-robotics.org/ .
Basic knowledge of linear algebra (equation systems, matrix multiplications) and probability is expected. There will be a repetition of the key concepts at the start of the semester though.
written exam
Lectures and exercises.
Thrun, Burgard, Fox: "Probabilistic Robotics", see e.g. http://probabilistic-robotics.org/