Generating Grammars for Natural Language Understanding from Knowledge about Actions and Objects

Alexander Perzylo, Sascha Griffiths, Reinhard Lafrenz und Alois Knoll

Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 2008–2013

2015 · Zhuhai, China · DOI: 10.1109/ROBIO.2015.7419068


Many applications in the fields of Service Robotics and Industrial Human-Robot Collaboration, require interaction with a human in a potentially unstructured environment. In many cases, a natural language interface can be helpful, but it requires powerful means of knowledge representation and processing, e.g., using ontologies and reasoning. In this paper we present a framework for the automatic generation of natural language grammars from ontological descriptions of robot tasks and interaction objects, and their use in a natural language interface. Robots can use it locally or even share this interface component through the RoboEarth framework in order to benefit from features such as referent grounding, ambiguity resolution, task identification, and task assignment.

Stichworte: robotics, smerobotics