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ReSight: Task-Driven Self-Improving Memory for Embodied Agents

ReSight is a task-driven self-improving memory system for embodied agents that retains keyframes and their spatiotemporal associations, and separates observation evidence from extensible derived fields so that historical observations can be reprocessed for new needs. Through Explore-Distill-Mount (EDM), the system identifies capability gaps from execution and exploration records and converts exploration-derived solutions into reusable memory builders, query tools, and skills.

Part of the event: ReSight: A Self-Improving Memory System for Embodied Agents

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