Date of Award
Winter 2023
Project Type
Thesis
Departments (Collect)
Computer Science
Degree Name
Master of Science
First Advisor
Samuel Carton
Second Advisor
Samuel Carton
Third Advisor
Momotaz Begum
Abstract
A common scenario in robotics is needing to change the behavior of a deployed robot according to new requirements. This usually requires intervention from the creators of the robot, which both labor- and time-intensive. In this work, we explore the capability of a large language model (LLM) to address this issue by modifying the existing behavior of robots represented using PDDL. Specifically, we prompt the GPT-4 LLM to generate new PDDL problem files given an existing problem file and a natural language description of how the robot's behavior should change. We evaluate both zero- and one-shot versions of this method on a modified version of an existing PDDL dataset, and compare our results with a baseline approach. We find that this problem is challenging for LLM to solve and discuss possibilities for improving performance.
Recommended Citation
Craft, Garrick Michael, "Using Large Language Models to Modify Robot Behavior in Response to Natural Language Prompts" (2023). Master's Theses and Capstones. 1752.
https://scholars.unh.edu/thesis/1752