Text2HBM Tool

The Python version of our Text2HBM tool for generation of PDDL models from textual instructions is now available at github. The tool takes as an input a textual instruction and generates PDDL problem and domain files. The original paper describing the Text2HBM approach, “Extracting Planning Operators from Instructional Texts for Behaviour Interpretation”, and which is based on the Haskell implementation of the tool, could be found here.
A newer paper, based on the Python version of the tool, “A Tool for Automated Generation of Domain Specific Symbolic Models From Texts”, could be found here.