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AiNex

Enables natural language control of a humanoid robot through an integrated voice agent and large language model.

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This Python-based MCP server transforms the Baby Brewie robot into an intuitive, voice-controlled system. It integrates a dedicated voice agent for wake-word activation and speech recognition, sending commands to a large language model (LLM) via the Together API. The server also provides the LLM with context from pre-defined robot action groups, allowing for intelligent execution of complex tasks. Responses are voiced using gTTS and cached for reduced latency, while robust ROS communication ensures seamless robot interaction.

API Development
Other
Data Science & ML

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