David Paulius

According to our database, David Paulius authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Bootstrapping Object-level Planning with Large Language Models.

David Paulius, Alejandro Agostini, Benedict Quartey, George Konidaris

CoRR, 2024

CAPE: Corrective Actions from Precondition Errors using Large Language Models.

Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees, Eric Rosen, Raymond Mooney, Stefanie Tellex, David Paulius

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Long-Horizon Planning and Execution With Functional Object-Oriented Networks.

David Paulius, Alejandro Agostini, Dongheui Lee

IEEE Robotics Autom. Lett., 2023

Skill Generalization with Verbs.

Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris

IROS, 2023

2022

Approximate Task Tree Retrieval in a Knowledge Network for Robotic Cooking.

Md Sadman Sakib, David Paulius, Yu Sun

IEEE Robotics Autom. Lett., 2022

Planning with Large Language Models via Corrective Re-prompting.

Shreyas Sundara Raman, Vanya Cohen, Eric Rosen, Ifrah Idrees, David Paulius, Stefanie Tellex

CoRR, 2022

Long-Horizon Task and Motion Planning with Functional Object-Oriented Networks.

David Paulius, Alejandro Agostini, Dongheui Lee

CoRR, 2022

Grounding of the Functional Object-Oriented Network in Industrial Tasks.

Rafik Ayari, Matteo Pantano, David Paulius

CoRR, 2022

Robot Learning of Assembly Tasks from Non-expert Demonstrations using Functional Object-Oriented Network.

Yi Chen, David Paulius, Yu Sun, Yunyi Jia

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems.

Md Sadman Sakib, David Paulius, Yu Sun

CoRR, 2021

Evaluating Recipes Generated from Functional Object-Oriented Network.

Md Sadman Sakib, Hailey Baez, David Paulius, Yu Sun

CoRR, 2021

A Road-map to Robot Task Execution with the Functional Object-Oriented Network.

David Paulius, Alejandro Agostini, Yu Sun, Dongheui Lee

CoRR, 2021

Task Planning with a Weighted Functional Object-Oriented Network.

David Paulius, Kelvin Sheng Pei Dong, Yu Sun

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Functional Object-Oriented Network: A Knowledge Representation for Service Robotics.

David Paulius

PhD thesis, 2020

A Motion Taxonomy for Manipulation Embedding.

David Paulius, Nicholas Eales, Yu Sun

Proceedings of the Robotics: Science and Systems XVI, 2020

Estimating Motion Codes from Demonstration Videos.

Maxat Alibayev, David Paulius, Yu Sun

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Developing Motion Code Embedding for Action Recognition in Videos.

Maxat Alibayev, David Paulius, Yu Sun

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Long Activity Video Understanding Using Functional Object-Oriented Network.

Ahmad Babaeian Jelodar, David Paulius, Yu Sun

IEEE Trans. Multim., 2019

A Survey of Knowledge Representation in Service Robotics.

David Paulius, Yu Sun

Robotics Auton. Syst., 2019

Functional Object-Oriented Network: Considering Robot's Capability in Human-Robot Collaboration.

David Paulius, Kelvin Sheng Pei Dong, Yu Sun

CoRR, 2019

Manipulation Motion Taxonomy and Coding for Robots.

David Paulius, Yongqiang Huang, Jason Meloncon, Yu Sun

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics.

David Paulius, Yu Sun

CoRR, 2018

Functional Object-Oriented Network: Construction & Expansion.

David Paulius, Ahmad Babaeian Jelodar, Yu Sun

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2016

Functional object-oriented network for manipulation learning.

David Paulius, Yongqiang Huang, Roger Milton, William D. Buchanan, Jeanine Sam, Yu Sun

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016