RoboEarth at IROS 2011

Members of the RoboEarth team contributed seven papers to the IROS'11 conference, which took place in San Francisco (USA) from September 25-30th. In addition, RoboEarth supported a workshop on Knowledge Representation for Autonomous Robots.

During the workshop Jos Elfring gave an introduction to RoboEarth's approach to world modelling. It uses a multiple hypothesis filter (MHF) to keep track of objects over time and introduces techniques to improve the probabilistic models by taking prior knowledge about objects into account, e.g. object dynamics, expected locations, relations between object classes and detector characteristics. For more details on this topic take a look at the corresponding paper, Knowledge-Driven World Modeling.

Other papers presented during the regular paper sessions were: