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A unified generative model for 3D dynamics can predict, inpaint, and control complex SE(3) trajectories across diverse agents and scenes with a single network.
Motion generation is no longer bound to fixed human templates: a single diffusion model can now animate arbitrary skeletal topologies鈥攆rom serpents and insects to bipeds鈥攄irectly from text in zero-shot fashion.
Playful learning strategies enable robots to acquire skills that boost performance on new tasks by over 20%, transforming how we approach robotic skill acquisition.
Tactile-reactive policies can boost robotic manipulation success rates by over 30% through innovative data collection and a new Mixture-of-Transformers architecture.