  Semantic parsing is a means of taking natural language and putting it in a
form that a computer can understand. There has been a multitude of approaches
that take natural language utterances and form them into lambda calculus
expressions -- mathematical functions to describe logic. Here, we experiment
with a sequence to sequence model to take natural language utterances, convert
those to lambda calculus expressions, when can then be parsed, and place them
in an XML format that can be used by a finite state machine. Experimental
results show that we can have a high accuracy model such that we can bridge the
gap between technical and nontechnical individuals in the robotics field.
