Limited number of participants! Please enroll through our e-learning system from 3rd of April to 14th of May 2023. A decision on participation will be published shortly afterwards. Please also register with your examination office or via FlexNow from 30th of May to 25th of June 2023.
The practical course gives an introduction to mobile robotics with a focus on dynamical systems approaches. The open-source simulation environment Webots 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.
Prof. Dr. Gregor SchönerLecturer
|(+49) 234-32-27965 firstname.lastname@example.org NB 3/31|
Stephan Sehring, M.Sc.Teaching Assistant
|(+49) 234-32-27976 email@example.com NB 02/75|
- Course type
- Lab courses
- 3 CP
- Summer Term 2023
- Lab course
every day from 10:00 to 18:00 in room NB 02/77.
First appointment is on 14.08.2023
Last appointment is on 18.08.2023
- Preliminary meeting
from 10:00 to 11:00 in room NB 3/57.
First appointment is on 10.08.2023
Last appointment is on 10.08.2023
The practical part of the lab course consists of a week of full-time work in which students solve programming tasks with simulated mobile robots. In the two weeks following the practical part, 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 both the practical work and the report. Students will get support during programming.
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210