GPT Models Meet Robotic Applications: Co-Speech Gesturing Chat System

• URL: http://arxiv.org/abs/2306.01741v1
• Date: Wed, 10 May 2023 10:14:16 GMT
• Title: GPT Models Meet Robotic Applications: Co-Speech Gesturing Chat System
• Authors: Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi
• Abstract summary: This technical paper introduces a chatting robot system that utilizes recent advancements in large-scale language models (LLMs) The system is integrated with a co-speech gesture generation system, which selects appropriate gestures based on the conceptual meaning of speech.
• Score: 8.660929270060146
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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).

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