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: There will be an online kick-off meeting held on July 21st at 2 pm using Big Blue Button. Please attend this meeting if you are interested in this course.
Students may apply regardless of attending the meeting.
Meeting Link: https://bbb.in.tum.de/pet-dy6-gk3
No password required.
Mobile robots play an increasing role in fields as healthcare, search and rescue, logistics. They need to learn about their environment to safely navigate around static and dynamic obstacles.
In this lab course, students learn how to fully operate a mobile robot (Pioneer P3-DX with added visual sensor) in three aspects based on lectures:
- Principles of Computer Vision (IN2133)
- Robotics (IN2067)
- Robot Motion Planning (IN2138)
Each student should have at least taken one of above courses.
Groups of five students will work on one aspect of robot control:
- SLAM from 3D PointClouds
- LowLevel Obstacle Avoidance (Sonar-Kinect Fusion)
- Object recognition: 3D, Appearance Based, April-Tags
- Path Planning
The course will consist of (online) lectures at the start and a practical project for each group afterwards. Groups may pick and change their tasks in terms of used algorithms, improvements and fine tuning of the robot.
The practical part is planned to be on-site in the Hochbrück lab with the room reserved for one group at a time (due to current restrictions) - there will be updates on this status depending on new state and university guidelines. |
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E-Learning course (e. g. Moodle)
TUMonline entry
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