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Feel-WM is presented, the first off-road navigation world model that conditions on proprioception and predicts what the robot will feel alongside what the camera will see, and outperforms visual-only navigation world models in open-loop planning and closed-loop rough-terrain navigation across wheeled and legged platforms.
ORION transforms how visual representations are structured for navigation, leading to a significant boost in performance even in visually challenging environments.
FPAS achieves a breakthrough in navigation efficiency by dynamically adjusting sampling density based on environmental openness, outperforming traditional planners.
