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A Modern System Recipe for Situated Embodied Human–Robot Conversation with Real-Time Multimodal LLMs and Tool-Calling

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We present a minimal system recipe for situated embodied conversation that pairs a real-time multimodal language model with a small set of tools for attention and active perception, enabling robots to interleave dialogue with “what to look at, when to look, and what to say” under tight latency constraints.

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