E-learning course overview

Limited number of participants! Please enroll through our e-learning system. Enrollment will be closed by January 22, 2021 and a decision on participation will be published shortly afterwards.

Please do not forget to register in Flexnow or with your Prüfungsamt as well.

The practical course gives an introduction to mobile robotics with a focus on dynamical systems approaches. In this semester's edition the practical course will be entirely virtual. 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.



Course type
Lab courses
3 CP
Winter Term 2020/2021
e-learning course available


Lab course
Takes place every day from 09:00 to 17:00 in room NB 02/77.
First appointment is on 22.02.2021
Last appointment is on 26.02.2021
Preliminary meeting
Takes place from 10:15 to 11:00 in room NB 3/57.
First appointment is on 18.02.2021
Last appointment is on 18.02.2021


Due to this years virtual edition you need to be able to run the open source Webots simulator on your computer. Precompiled versions are offered on the webots homepage for the major operating systems. Please check if webots runs on your computer before applying.

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. 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