Robust Natural Language Processing - Combining Reasoning, Cognitive   Semantics and Construction Grammar for Spatial Language
  We present a system for generating and understanding of dynamic and static spatial relations in robotic interaction setups. Robots describe an environment of moving blocks using English phrases that include spatial relations such as "across" and "in front of". We evaluate the system in robot-robot interactions and show that the system can robustly deal with visual perception errors, language omissions and ungrammatical utterances. 
Michael Spranger and Jakob Suchan and Mehul Bhatt
cs.AI cs.CL