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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.
Generating synthetic data for humanoid robots can boost loco-manipulation performance by 20% compared to relying solely on real-world data.
