AI RESEARCH
MARS: Multi-Agent Robotic System with Multimodal Large Language Models for Assistive Intelligence
arXiv CS.CV
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ArXi:2511.01594v2 Announce Type: replace-cross Multimodal large language models (MLLMs) have shown remarkable capabilities in cross-modal understanding and reasoning, offering new opportunities for intelligent assistive systems, yet existing systems still struggle with risk-aware planning, user personalization, and grounding language plans into executable skills in cluttered homes. We