101 citations · 230 across the 19 of their papers we have counts for
4 papers · 1 filter
CAPE: Corrective Actions from Precondition Errors using Large Language Models
Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees +4
Extracting commonsense knowledge from a large language model (LLM) offers a path to designing intelligent robots. Existing approaches that leverage LLMs for planning are unable to…
Approximate Task Tree Retrieval in a Knowledge Network for Robotic Cooking
Md. Sadman Sakib, David Paulius, Yu Sun
Flexible task planning continues to pose a difficult challenge for robots, where a robot is unable to creatively adapt their task plans to new or unseen problems, which is mainly d…
Long-Horizon Planning and Execution with Functional Object-Oriented Networks
David Paulius, Alejandro Agostini, Dongheui Lee
Following work on joint object-action representations, functional object-oriented networks (FOON) were introduced as a knowledge graph representation for robots. A FOON contains sy…
Grounding of the Functional Object-Oriented Network in Industrial Tasks
Rafik Ayari, Matteo Pantano, David Paulius
In this preliminary work, we propose to design an activity recognition system that is suitable for Industrie 4.0 (I4.0) applications, especially focusing on Learning from Demonstra…