AIBullisharXiv – CS AI · Mar 46/102
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Chain of World: World Model Thinking in Latent Motion
Researchers introduce CoWVLA (Chain-of-World VLA), a new Vision-Language-Action model paradigm that combines world-model temporal reasoning with latent motion representation for embodied AI. The approach outperforms existing methods in robotic simulation benchmarks while maintaining computational efficiency through a unified autoregressive decoder that models both keyframes and action sequences.