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SWAM achieves superior navigation performance by seamlessly integrating observation and action generation, significantly enhancing efficiency and accuracy in embodied tasks.
Latent reasoning can beat explicit Chain-of-Thought – but only if you force it to learn causal dynamics via a visual world model, not just language.
Autonomous driving models no longer need to compromise between spatial perception and semantic reasoning: UniDriveVLA's expert decoupling unlocks state-of-the-art performance across a range of driving tasks.
