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1. 참고 자료1.1 링크1.1.1 논문더보기 Moonlight | AI Colleague for Research PapersInteract with your AI Colleague Moonlight to understand research papers quickly and deeply. Everything you need to read a paper: explanation, summarization, translation, chat, and reference search.www.themoonlight.io 1.1.2 깃허브 (모델)더보기모델: https://github.com/Maithili/SpatioTemporalObjectTracking GitHub - Maithili/SpatioTemporalO..

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1. 참고 자료1.1 링크1.1.1 논문더보기https://arxiv.org/abs/2505.16348 Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory UtilizationLLM-powered embodied agents have shown success on conventional object-rearrangement tasks, but providing personalized assistance that leverages user-specific knowledge from past interactions presents new challenges. We invest..

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1. 참고 자료1.1 링크1.1.1 논문더보기https://arxiv.org/abs/2509.24966 Social 3D Scene Graphs: Modeling Human Actions and Relations for Interactive Service RobotsUnderstanding how people interact with their surroundings and each other is essential for enabling robots to act in socially compliant and context-aware ways. While 3D Scene Graphs have emerged as a powerful semantic representation for scene underst..

1. 참고 자료1.1 링크1.1.1 논문더보기https://arxiv.org/abs/2604.11975 M2HRI: An LLM-Driven Multimodal Multi-Agent Framework for Personalized Human-Robot InteractionMulti-robot systems hold significant promise for social environments such as homes and hospitals, yet existing multi-robot works treat robots as functionally identical, overlooking how robots individual identity shape user perception and how coor..