Abstract: Large Language Models (LLMs) lack robust memory management for multi-turn dialogues, limiting their effectiveness in personalized applications. We introduce REMIND, a lightweight, modular ...
Abstract: Translating human intent into robot commands is crucial for the future of service robots in an aging society. Existing human‒robot interaction (HRI) systems relying on gestures or verbal ...
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