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StreamPI transforms VLA models by enabling them to retain temporal context and enhance spatial perception, outperforming traditional single-frame approaches.
Flow-based VLAs can react to environmental changes ten times faster by adaptively prioritizing near-term actions during sampling, unlocking unprecedented real-time responsiveness.
Training a single point cloud encoder across diverse 3D domains not only improves perception but also unlocks emergent behaviors and enhances robotic manipulation and spatial reasoning.
