GPT Models Meet Robotic Applications: Co-Speech Gesturing Chat System
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Abstract (arXiv)
This technical paper introduces a chatting robot system that utilizes recent advancements in large-scale language models (LLMs) such as GPT-3 and ChatGPT. The system is integrated with a co-speech gesture generation system, which selects appropriate gestures based on the conceptual meaning of speech. Our motivation is to explore ways of utilizing the recent progress in LLMs for practical robotic applications, which benefits the development of both chatbots and LLMs. Specifically, it enables the development of highly responsive chatbot systems by leveraging LLMs and adds visual effects to the user interface of LLMs as an additional value. The source code for the system is available on GitHub for our in-house robot (https://github.com/microsoft/LabanotationSuite/tree/master/MSRAbotChatSimulation) and GitHub for Toyota HSR (https://github.com/microsoft/GPT-Enabled-HSR-CoSpeechGestures).
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 4 of its 9 references that are in the map. First posted on arXiv 10 May 2023.
Builds on
4 of 9 references.
References · 4
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2023ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Applicationcited by 48
- 2019Design of conversational humanoid robot based on hardware independent gesture generationcited by 1
- 2020Labeling the Phrases of a Conversational Agent with a Unique Personalized Vocabularycited by 1
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