Paper ID: 2308.13192

Formalising Natural Language Quantifiers for Human-Robot Interactions

Stefan Morar, Adrian Groza, Mihai Pomarlan

We present a method for formalising quantifiers in natural language in the context of human-robot interactions. The solution is based on first-order logic extended with capabilities to represent the cardinality of variables, operating similarly to generalised quantifiers. To demonstrate the method, we designed an end-to-end system able to receive input as natural language, convert it into a formal logical representation, evaluate it, and return a result or send a command to a simulated robot.

Submitted: Aug 25, 2023