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NVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks

Traditional robot programming is hard to scale. It requires orchestrating multimodal perception, physical contact dynamics, diverse configurations, and execution failures by hand. Code-as-policy systems let language models compose these into executable robot programs. That makes robot behavior inspectable, editable, and debuggable. But existing robotic coding agents run in naive execution environments. They receive only coarse,…

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Context Graph vs RAG vs Raw Context

Retrieval is critical in AI agents. To do any task correctly, the agent needs to be able to retrieve all the information that is relevant to the task from its memory. Context graphs are all the rage right now, so I benchmarked them against the alternatives. This post explains how each memory method works, what…

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