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.