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INFB  Autonomus Mobile Systems Course INF
Lecturers : Prof. Dr. rer. nat. Friedhelm Mündemann    eMail
Prof. Dr. sc. techn. Harald Loose    eMail
Prof. Dr.-Ing. Jochen Heinsohn    eMail
Dipl.-Inform. Ingo Boersch    eMail
Term 5
Course Classification : Informatik Bachelor, Profil-Katalog B-INF-Profil CH 4
Language : Deutsch/Englisch Type VÜ 
Type of examination : PL  Credits 5 
Method of evaluation : term paper with oral examination 
Requirements :
Cross References :  
Previous knowledges : Fundamentals of Knowledge Processing 
Aids and special features :  
Teaching aims : Students are introduced to the application of methods from different areas of informatics in autonomous mobile systems. They are introduced to the practical application of knowledge attained and the interaction between theory and practice using the example of a mobile robot (Pioneer 2 and 3 amongst others). 
Contents :

Components of autonomous mobile systems, actuators and sensors
Image acquisition and processing by mobile systems
Navigation and planning methods and devices
Selected algorithms to determine features, recognize and follow objects
Integrating AI and image processing algorithms
Group work: Handling an application scenario, for example navigating, finding and transporting an object flagged with a certain colour using a mobile robot  

Literature : Skript/Folien zur Lehrveranstaltung in Moodle
Boersch I., Heinsohn J., Socher R.: Wissensverarbeitung - Eine Einführung in die KI, Spektrum, 2. Auflage 2007
www.mobilerobots.com
Voss/Süße: Praktische Bildverarbeitung
Thrun S., Burgard W., Fox D.: Probabilistic Robotics. MIT Press, Cambridge, MA, 2006
Weitere Literatur wird in der Lehrveranstaltung angegeben  

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