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FutureNav redefines VLN by simultaneously predicting actions and modeling world states, achieving unprecedented performance with a streamlined architecture.
VAIC enables humanoid robots to perform complex tasks in real-world settings without the need for perfect state observability, significantly advancing their practical deployment.
Forget text instructions: bounding-box guidance unlocks surprisingly effective data scaling laws for semantic manipulation in real-world robotics.
Humanoid robots can now perform agile tasks like skateboarding and cart-pushing with underactuated objects, thanks to a dynamics-aware world model that predicts object states from robot's own sensory history.
