Mobile Robotics

Sommer
(in German: Mobile Robotics
)
Module-ID: FIN-INF-110526
Abbreviation
MR
Credit Points
5
Semester
Sommer
Term
starting at 4.
Duration
1 Semester
Language
english
Level
Bachelor
Link:
 LSF
Limited accessability:
Responsibility:
Prof. Dr.-Ing. Benjamin Noack
Lecturer:
Prof. Dr.-Ing. Benjamin Noack
Classes:
Lecture Mobile Robotics
Exercise Mobile Robotics
 
Applicability in curriculum:
- B.Sc. INF: Informatik - Wahlpflicht
- B.Sc. INF: Informatik Wahlpflicht (SPO 2027)
- B.Sc. CV: Informatik - Wahlpflicht
- B.Sc. CV: Computervisualistik Wahlpflicht (SPO 2027)
- B.Sc. INGINF: Informatik - Wahlpflicht
- B.Sc. INGINF: Informatik Wahlpflicht (SPO 2027)
- B.Sc. WIF: Gestalten und Anwenden - Wahlpflicht
- B.Sc. WIF: Informatik Wahlpflicht (SPO 2027)
- B.Sc. INF (bilingual): Informatik - Wahlpflicht
- B.Sc. INF (bilingual): Informatik Wahlpflicht (SPO 2027)
Intended learning outcomes:
Students who completed the course ...
have a comprehensive overview of concepts and algorithms used in mobile robotics applications, such as delivery robots or autonomous cars
have a foundational understanding of the mathematical principles required for system modeling, planning, perception, mapping, and their probabilistic approaches
understand how various components within a robotic system interlink and interact
are able to select appropriate algorithms for a given setup in mobile robotics and implement them using the ROS2 framework
Content:
This course offers an introduction to the foundational principles and algorithms of mobile robotics, utilizing a flipped classroom approach. The course emphasizes a conceptual understanding of mobile robotics while introducing relevant mathematical underpinnings. Students complete preparatory work before each lecture, which they use in class to deepen understanding and application of knowledge. In the exercise, students deepen their knowledge with practical experience and complete programming assignments using the Robot Operating System 2 (ROS2) framework.
With an emphasis on wheeled robots, this lecture covers
the modeling of mobile robots,
sensing of their own state and the environment—including image processing
planning,
control,
localization,
mapping,
and advanced methods.
The main parts of the course are based on the book Computational Principles of Mobile Robotics
Workload:
28h Lecture
28h Practical Exercise
94h independent Study
Pre-examination requirements:
Type of examination:
Teaching method / lecture hours per week (SWS):
Term paper about implementation, documentation, and presentation of a robotics project
(Hausarbeit über Durchführung, Dokumentation und Abnahme eines Roboterprojekts)
Lecture (2 SWS)
Exercise (2 SWS)
Prerequisites according to examination regulations:
Recommended prerequisites:
keine
Linear Algebra and Calculus
Media:
Literature:
Computational Principles of Mobile Robotics
Comments: