Overview of the SkillWrapper architecture.

SkillWrapper: Generative Predicate Invention for Skill Abstraction

TL;DR – This paper introduces SkillWrapper, a system for creating abstract representations of skills using foundation models.

November 2025 · Ziyi Yang, Benned Hedegaard, Ahmad Jaafar, Yichen Wei, Skye Thompson, Shreyas Sundara Raman, Haotian Fu, Stefanie Tellex, George Konidaris, David Paulius, Naman Shah

[IROS-25] Least Commitment Planning for the Object Scouting Problem

TL;DR – This paper introduces a new planning framework for object scouting called the Scouting Partial-Order Planner, which exploits partial order and regression planning to plan around gaps in knowledge the robot may have about the existence, location, and state of relevant objects in its environment.

October 2025 · Max Merlin, Ziyi Yang, George Konidaris, David Paulius
Example of simple block stacking task performed in our LLM-OLP paper

[ICRA-25] Bootstrapping Object-level Planning with Large Language Models

TL;DR – This paper formalizes the concept of object-level planning and discusses how this level of planning naturally integrates with large language models (LLMs).

May 2025 · David Paulius, Alejandro Agostini, Benedict Quartey, George Konidaris
Rationing and frictional unemployment in the United States, 1964–2009

[RAL-23] Long-Horizon Planning and Execution with Functional Object-Oriented Networks

TL;DR – In this paper, we introduce the idea of connecting FOONs to robotic task and motion planning. We automatically transform a FOON graph, which exists at the object level (i.e., it is a representation that uses meaningful labels or expressions close to human language), into task planning specifications written in PDDL (not a very intuitive way to communicate about tasks).

June 2023 · David Paulius, Alejandro Agostini, Dongheui Lee