Uwe-Philipp Käppeler

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An important aim of the current research effort in artificial intelligence and robotics is to achieve cooperative agent behavior for teams of robots in real-world scenarios. Especially in the RoboCup scenario , but also in other projects like Nexus, agents have to cooperate efficiently to reach certain goals. In the RoboCup project, cooperative team-play(More)
The integration and usage of uncertain sensor data in workflows is a difficult problem. In this paper we describe these difficulties which result from the combination of very distinct areas. On the one hand, applications from area of measurement engineering manage sensors that capture data and annotate the data with technical meta data. On the other hand,(More)
In this paper a learning algorithm for the automatic adaption of a situation template is presented. The approach strongly relies on human-machine interaction as user feedback is a substantial part to automatically adapt a global knowledgebase in this case. The work bases on the assumption of uncertain data and includes elements from the domain of Bayesian(More)