Yaesol Kim

Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-Level Goal Decomposition

In robotic task planning, symbolic planners using rule-based representations like PDDL are effective but struggle with long-sequential tasks in complicated environments due to exponentially increasing search space. Meanwhile, LLM-based approaches, which are grounded in artificial neural networks, of