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Robotic manipulation and scene prediction are unified in a single 3D-native world action model that directly reasons about metric space, achieving SOTA performance across diverse tasks.
Humanoid robots can now generate co-speech motions that are not only expressive but also physically executable, bridging the embodiment gap that has long hindered their performance.
A new 3D representation and BEV alignment framework drastically enhance the generalization of robotic manipulation policies across varied environments and robot types.
