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George Washington University
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LLMs and VLMs excel at conceptual tasks but falter in practical execution, achieving only 42.2% success in script generation for VLSI design.
Human-robot teams can slash interaction costs by 50% and task times by 25% when robots actively resolve uncertainty about tasks and infer human intent using LLMs and spatial reasoning.
LLMs can orchestrate human input to UAVs, dramatically improving mission success rates while minimizing human interaction.
