2 papers
cs.AI2025
Bootstrapping Human-Like Planning via LLMs
David Porfirio, Vincent Hsiao, Morgan Fine-Morris +2
Robot end users increasingly require accessible means of specifying tasks for robots to perform. Two common end-user programming paradigms include drag-and-drop interfaces and natu…
cs.AI2024
Automatically Learning HTN Methods from Landmarks
Ruoxi Li, Dana Nau, Mark Roberts +1
Hierarchical Task Network (HTN) planning usually requires a domain engineer to provide manual input about how to decompose a planning problem. Even HTN-MAKER, a well-known method-l…