Inhalt des Dokuments
|Professor Dr. Wolfram Burgard (Leibniz-Preisträger 2009), Dept. of Computer Science, University of Freiburg |
|Tuesday, October 22, 2013, 4:15 p.m., TU Berlin Hauptgebäude - room H 0111|
Probabilistic approaches have been discovered as one of the most powerful approaches to highly relevant problems in mobile robotics including perception and robot state estimation. Major challenges in the context of probabilistic algorithms for mobile robot navigation lie in the questions of how to deal with highly complex state estimation problems and how to control the robot so that it efficiently carries out its task. In this talk, I will present recently developed techniques for efficiently learning a map of an unknown environment with a mobile robot. I will also describe how this state estimation problem can be solved more effectively by actively controlling the robot. For all algorithms I will present experimental results that have been obtained with mobile robots in real-world environments.
Wolfram Burgard is a professor for computer science at the University of Freiburg, Germany where he heads the Laboratory for Autonomous Intelligent Systems. He studied Computer Science at the University of Dortmund and received his Ph.D. degree in computer science from the University of Bonn in 1991. His areas of interest lie in artificial intelligence and mobile robots. In the past, Wolfram Burgard and his group developed several innovative probabilistic techniques for robot navigation and control. They cover different aspects including localization, map-building, path planning, and exploration. He received the prestigious Gottfried Wilhelm Leibniz Prize in 2009 and an advanced ERC grant in 2010. He is fellow of the AAAI and of the ECCAI.
ContactProf. Dr. Oliver Brock