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Master practical course - Micromouse: Designing an Educational Racing-Robot from Scratch (IN2106, IN4235)

Course 0000002328 in WS 2019/20

General Data

Course Type practical training
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
Lecturers Alexander Lenz

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks IMPORTANT: A pre-course meeting where additional information will be supplied and where I am available for your questions will be held on Wednesday the 10th July at 15:00h in room 03.07.011 in the Mathematics and Informatics Building! There is a further pre-course meeting on Thursday the 11th of July at 15:00h in room 03.07.011. Please attend one of those meetings, they are just alternative dates. There is no need to attend both! If you interested in joining this practical course please use the matching system. In addition, it would be useful if you sent me an email ( with the following content : subject: micromouse lab course content: short paragraph on motivation and your background (e.g. bachelor's degree) and other experiences. -------- The micromouse competition is an event where relatively small robotic mice compete in a 16 x 16 (or 32 x 32) cell maze. In brief, robots are required to autonomously 'map' the maze, by finding the optimal route to the centre. Once found, the mouse should run that route (beginning at the start) in the shortest time. In this course, we use the micromouse competition specification to develop together a competitive 'mouse'. This includes the compilation of a workable specification, selection of hardware components, circuit design, embedded software design, as well tackling the closed and open-loop control problems in terms of sensing, algorithmic implementation and driver development. At the higher level, mapping strategies need to be implemented and appropriate tools for testing developed and deployed. Of course, testing during and after the development phase as well as the generation of appropriate documentation is essential. Since the developed robot will be used on the coming years for teaching purposes (embedded software), issues like costs, open-source tools and simplicity (amongst others) will also be considered when making design choices.
Links E-Learning course (e. g. Moodle)
TUMonline entry
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