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Casual images are now enough to generate high-fidelity, scene-aligned 3D objects with accurate pose, even from sparse observations.
Achieving a staggering 90.4% reduction in robot-motion error, Hydra-0 redefines how we model and control robotic actions across varied environments.
Heterogeneous agents can achieve "mind reading" capabilities through dense alignment, outperforming traditional methods with significantly lower compute costs.
VoLoAgent outperforms traditional manipulation systems by seamlessly integrating planning, monitoring, and recovery in real-time, transforming how robots handle complex tasks in dynamic environments.