MyBuddyヒューマノイドロボット向けLLMベース対話型AI知識アシスタント
LLM-based Conversational AI Knowledge Assistant for MyBuddy Humanoid Robot
Raspberry Pi搭載の13軸ヒューマノイドロボットMyBuddyに、LLMによる言語理解と推論、音声認識・合成、WikipediaやarXivなどの知識検索を統合し、多ターン対話と感情サポートを可能にする対話型AIアシスタントを実装した。
詳しい要約
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著者: Hanxiao Chen
分類: cs.RO, cs.AI
原文アブストラクト
Humanoid robots are increasingly being popular and developed for human-centered applications, yet their ability to provide intelligent conversations and natural interactive knowledge assistance remains constrained by traditional rule-based dialogue systems, pre-defined responses and limited knowledge repositories. Large language models (LLMs) have emerged as a powerful foundation for enabling natural, adaptive, and context-aware Human-Robot Interaction (HRI), which provides a significant opportunity to address such limitations by enabling robots to understand natural speech language, reason over complicated queries, maintain high-quality conversational context, and generate knowledge-rich responses. In this work, we originally present and implement an LLM-based versatile Conversational AI Knowledge Assistant for the Raspberry-Pi-powered 13-Axis MyBuddy humanoid robot, which integrates LLM-driven language understanding and AI reasoning with real-time speech recognition, knowledge retrieval via extensible access of internet engines (e.g., Wikipedia, arXiv), flexible dialogue management, and natural speech synthesis to enable much more intelligent multi-turn continuous conversations and advanced emotional-support Human-Robot Interaction.