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ASPIRE achieves a staggering 31% success rate on unseen long-horizon tasks, compared to just 4% for prior methods, highlighting its superior adaptability and efficiency.
Policies trained in SimFoundry's automated environments achieve up to 40% higher success rates in real-world tasks by leveraging affordance-preserving scene variations.
GRAFT enables robots to manipulate unseen objects with just one demonstration by leveraging geometric similarities, outperforming traditional semantic retrieval methods.
