RoboEarth article selected as Best Paper Award Finalist

We are pleased to announce that the article 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.