The project is to continue the preceding projects SERROKON-V and SERROKON-H. It is aimed at the development of a demonstrator of a mobile interactive shopping assistant. This service robot will serve customers of a home store (DIY market) as mobile information kiosk, guiding the customer to the locations of desired articles. Major work packages include refinement of the robot hardware (drive, sensor equipment, controller, design), enhancements of the algorithms for robot navigation and human-robot interaction, re-design of the robot control architecture, and comprehensive field experiments to evaluate the overall functionality of the shopping assistant.
Finally, the service robot should be able to operate within its application environment for longer duration (a couple of days, several weeks).

Final presentation (in German only)

Papers available for download on the lab's publication page

Einhorn, E., Schröter, Ch., Böhme, H.-J., Gross, H.-M.
A Hybrid Kalman Filter Based Algorithm for Real-time Visual Obstacle Detection.
in: Proc. 3rd European Conference on Mobile Robots (ECMR) 2007, Freiburg, pp.156-161, Albert-Ludwigs-Universität Freiburg - Universitätsverlag 2007

Müller, St., Schaffernicht, E., Scheidig, A., Böhme, H.-J., Gross, H.-M.
Are you still following me?
in: Proc. 3rd European Conference on Mobile Robots (ECMR) 2007, Freiburg, pp. 211-216, Albert-Ludwigs-Universität Freiburg - Universitätsverlag 2007

Schröter, Ch., Böhme, H.-J., Gross, H.-M.
Memory-Efficient Gridmaps in Rao-Blackwellized Particle Filters for SLAM using Sonar Range Sensors.
in: Proc. 3rd European Conference on Mobile Robots (ECMR) 2007, Freiburg, pp. 138-143, Albert-Ludwigs-Universität Freiburg - Universitätsverlag 2007