arXiv:2611.15215v1 Announce Type: new Abstract: In robotics and embodied AI, a core challenge for world models is adapting to sudden, persistent, yet initially unknown changes in robot dynamics during interaction. For instance, when a robotic arm grasps an object with an unknown payload, the robot dynamics change suddenly. If the world model fails to adapt, its prediction errors accumulate over the open-loop rollout and ultimately mislead the robot's actions.
Artificial Intelligence · 2026-11-13
AFTER: A World Model with Adaptive Fast--Slow Timescales for Error-Driven Retention
arXiv:2611.15215v1 Announce Type: new Abstract: In robotics and embodied AI, a core challenge for world models is adapting to sudden, persistent, yet initially unknown changes in robot dynamics during interaction. For instance, when a robotic arm grasps an object with an unknown payload, the robot dynamics change suddenly.
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