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This technical paper introduces a chatting robot system that utilizes recent advancements in large-scale language models (LLMs) such as GPT-3 and ChatGPT.
K. Ikeuchi, Z. Ma, Z. Yan, S. Kudoh, and M. Nakamura, “Describing upper-body motions based on labanotation for learning-from-observation robots,” IJCV
2018
Earlier work this paper cites.
2019
Earlier work this paper cites.
N. Wake, M. Fukumoto, H. Takahashi, and K. Ikeuchi, “Enhancing listening capability of humanoid robot by reduction of stationary ego-noise,” IEEJ Transactions on Electrical and Electronic Engineering
2019
Earlier work this paper cites.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al
2020
Cited alongside, same era.
N. Wake, M. Sato, K. Sasabuchi, M. Nakamura, and K. Ikeuchi, “Labeling the phrases of a conversational agent with a unique personalized vocabulary,” in 2022 IEEE/SICE International Symposium on System Integration (SII)
2022
Cited alongside, same era.
H. Teshima, N. Wake, D. Thomas, Y. Nakashima, D. Baumert, H. Kawasaki, and K. Ikeuchi, “Integration of gesture generation system using gesture library with diy robot design kit,” in 2022 IEEE/SICE International Symposium on System Integration (SII)
2022
Cited alongside, same era.
OpenAI, “Chatgpt.” https://openai.com/blog/chatgpt
Cited in the paper.
J. Jaroslavceva, N. Wake, K. Sasabuchi, and K. Ikeuchi, “Robot ego-noise suppression with labanotation-template subtraction,” IEEJ Transactions on Electrical and Electronic Engineering
2022
Later among the works it cites.
2023
Closest in time.
“Microsoft azure.” https://azure.microsoft.com/ , (accessed March. 6, 2023)
2023
Closest in time.
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