Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots

Built on

Common sense data acquisition for indoor mobile robots,
R. Gupta, M. J. Kochenderfer, D. Mcguinness, G. Ferguson, · 2004
Earlier work this paper cites.
Conceptnet 5.5: An open multilingual graph of general knowledge,
R. Speer, J. Chin, C. Havasi, · 2017
Earlier work this paper cites.
A review and comparison of ontology-based approaches to robot autonomy,
A. Olivares-Alarcos, D. Beßler, A. Khamis, et al., · 2019
Earlier work this paper cites.

Action representation for intelligent agents using Memory Nets,
J. Eggert, J. Deigmöller, L. Fischer, A. Richter, · 2020
Cited alongside, same era.
Extraction of common-sense relations from procedural task instructions using BERT,
V. Losing, L. Fischer, J. Deigmöller, · 2021
Cited alongside, same era.
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning,
Original
J. H. Caufield, H. Hegde, V. Emonet, et al., · 2023
Cited alongside, same era.

Tidybot: Personalized robot assistance with large language models,
Original
J. Wu, R. Antonova, A. Kan, et al., · 2023
Closest in time.
Progprompt: Generating situated robot task plans using large language models,
I. Singh, V. Blukis, A. Mousavian, et al., · 2023
Closest in time.
Unifying large language models and knowledge graphs: A roadmap,
Original
S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, X. Wu, · 2023
Closest in time.