Autonomous Robotics

You can have a look at and discuss your reports on Thursday, November 12, 2015 at 4:30pm in room NB 5/99.

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.

Lecturers

Details

Course type
Lab courses
Credits
2 CP
Term
Summer Term 2015

Dates

Preliminary meeting
Takes place on 27.08.2015 from 10:15 to 11:00 in room NB 3/57.
Lab course
Takes place every day from 10:00 to 18:00 in room NB 02/77.
First appointment is on 14.09.2015
Last appointment is on 18.09.2015

Requirements

Interested students who do not have experience in Matlab should attend the Matlab introduction of the lab exercise Computer Vision (typically the week before this course).

Documents

Lecture slides Background material
Exercises Exercise sheets
Lecture slides Report guidelines
Lecture slides General information
Lecture slides Report Latex template

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