Humanoid robot uses AI for smarter conversations and knowledge help
LLM-based Conversational AI Knowledge Assistant for MyBuddy Humanoid Robot
RoboticsArtificial Intelligence
Summary
Humanoid robots often struggle to have natural and helpful conversations because they rely on fixed scripts and limited knowledge. The authors developed a system that uses large language models to help a small humanoid robot called MyBuddy understand speech, find information online, and talk more naturally. This lets the robot answer complicated questions, remember previous parts of the conversation, and even provide emotional support. Their system integrates speech recognition, internet search, dialogue management, and speech synthesis for better human-robot interaction.
What this means in practice
- •For robotics developers: Build humanoid robots capable of natural multi-turn conversations and knowledge-based assistance by integrating LLMs with speech and internet access.
- •For customer service teams: Deploy interactive robots that provide continuous and context-aware conversational support with emotional engagement in customer-facing environments.$Commercial implications: Enables sale of interactive humanoid robots offering advanced conversational assistance to customer service businesses.
Authors
Hanxiao Chen
Abstract
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.