Autonomous Robotics

Limited number of participants! Please enroll through our e-learning system from 1st of April to 15th of May 2022. A decision on participation will be published shortly afterwards. Please also register with your examination office or via FlexNow from 1st to 24th of June 2022.

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 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.

Lecturers

Details

Course type
Lab courses
Credits
3 CP
Term
Summer Term 2022
E-Learning
e-learning course available

Dates

Lab course
Takes place every day from 09:00 to 17:00.
First appointment is on 22.08.2022
Last appointment is on 26.08.2022

Requirements

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. 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