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Alexander Perzylo

RoboEarth at IROS 2011

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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:

Alexander Perzylo

Workshop at IROS 2010

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At the IROS 2010 workshop, members of the RoboEarth team participated in the discussion on how the autonomous robotics community may tackle more and more complex manipulation activities, such as doing household chores, in more and more realistic operating environments such as human working and living environments. One of the biggest challenges in such applications is the open-endedness of the task domains and the enormous amount of knowledge needed to achieve reliable task success. Luckily almost every robot has access to the World Wide Web, the world's largest knowledge and information source.