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Zero-shot sim-to-real transfer is achieved with a 16.7% reduction in force prediction error by aligning diverse tactile modalities in a shared latent space.
GAM revolutionizes robot policy learning by seamlessly integrating 3D geometric reasoning, outperforming traditional models in accuracy and efficiency.
