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FutureNav redefines VLN by simultaneously predicting actions and modeling world states, achieving unprecedented performance with a streamlined architecture.
AffordanceVLA transforms robotic manipulation by using structured affordance cues to create precise perception-action mappings, outperforming traditional models.
Robots can now navigate complex social environments with unprecedented success thanks to a new world model that anticipates both scene changes and human behavior based on potential actions.
