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Achieving over 20% higher success rates in bimanual object reorientation tasks reveals the power of compositional diffusion combined with energy-based optimization.
Rosetta achieves multimodal integration without catastrophic forgetting, enabling models to expand their capabilities while retaining prior knowledge.
Achieving a staggering 98.7% success rate in humanoid loco-manipulation by seamlessly chaining meta-skills through a novel contact flow representation.
Object-centric mask conditioning in MaskWAM dramatically improves policy performance, outperforming traditional WAMs by effectively reducing language ambiguity in complex environments.