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Anchor-Align boosts real-robot success rates from 28% to 54% by preventing representation drift during finetuning, revealing a critical synergy between preserving pretrained knowledge and effective action learning.
A novel anthropomorphic hand design achieves robust and versatile manipulation by strategically combining hard and soft materials, offering improved strength, endurance, and grasp success at a low cost.
