One long term goal of artificial intelligence research is the development of robot systems, which have approximately the same cognitive, communicational, and handling abilities like humans. For instance, a human-like communication requires an intuitive and symbolic user interface. Since actual robot control systems typically consist of subsymbolic interfaces, the robot must be able to extract subsymbolic information from given symbolic instructions. This requires the grounding of information and the utilizing of appropriate sensors and components. In this work, we describe the grounding of symbols based on physical properties, since we describe executable actions in form of physical effects in our system [1].