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—blog:roboearth_article_selected_as_best_paper_award_finalist [2014/10/15 15:41] (current) – created tenorth
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 +====== RoboEarth article selected as Best Paper Award Finalist ======
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 +We are pleased to announce that the article [[http://dx.doi.org/10.1109/TASE.2013.2244883|Representation and Exchange of Knowledge about Actions, Objects, and Environments in the RoboEarth Framework]] that Moritz Tenorth and Michael Beetz co-authored has been selected as Best Paper Award Finalist by the IEEE Transactions on Automation Science and Engineering (T-ASE). The article presents a knowledge representation language tailored to the robotics use case that allows robots to represent and exchange task descriptions, environment maps and object models via a Web-based platform.
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