An intelligent human-robot interface using a probability approach

In the near future, mobile service robots will play important roles in human beings life. They are expected to be intelligent and powerful assistants for the human beings. Such situations require intelligent and natural interaction between human and robots. One way to facilitate this is by using a friendly natural language interface. The development of a natural language interface requires a robust natural language processor, where the major problem is the ambiguity issue. Many sentences are ambiguous in our daily life. An ambiguous sentence may have more than one meaning. In this paper, a probability approach is proposed to resolve the ambiguities in sentences for the intelligent human-robot interface.