The practical course gives an introduction to mobile robotics with a focus on dynamical systems approaches. In the exercises, the computing environment Matlab is used to control e-puck miniature mobile robots, equipped with a differential drive, combined infrared/proximity sensors and a video camera. The course covers elementary problems in robot odometry, use of sensors and motor control. It then teaches basic dynamic methods for robot navigation, in which the robot's sensors are used for obstacle avoidance and approach to a target location.
- Course type
- Lab courses
- 3 CP
- Winter Term 2018/2019
- Lab course
every day from 09:00 to 17:00 in room NB 02/77.
First appointment is on 11.02.2019
Last appointment is on 15.02.2019
- Preliminary meeting
Takes place on
from 10:15 in room NB 3/57.
Interested students who do not have experience in Matlab should attend the Matlab introduction of the lab exercise Introduction to Deep Learning for Computer Vision.
The practical part of the lab course consists of a week of full-time work in which students solve programming tasks with mobile robots. The students then write reports in which they describe and analyze the work they have done. The grade for the lab course is based on the reports alone. Students will get support during programming and will receive elaborate feedback on their writing.