A Hierarchical Task Network planner utilizing LLMs like OpenAI's GPT-4 to create complex plans from natural language that can be converted into an executable form.

Automatically creates a solution to a randomly-generated maze using Pyhop, a Hierarchical Task Network Planner created by Dana Nau based on the SHOP algorithm. Built for artificial intelligence research.

Model that utilizes Pyhop, an A.I. planner based on the JSHOP2 algorithm, to determine whether a person needs assistance based on task progress. Currently integrated into the Computational Model of Assistance. Done during the Summer of 2019 as Research Assistant to Jason R. Wilson, post-doctorate researcher at Northwestern University.