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MAPLE: A Training-Free Indoor Exploration Method Based on the Mondrian Process

An arXiv paper proposes MAPLE (Mondrian-Anchored Prior for Learning-free Indoor Exploration), a training-free predictive exploration method that adapts the Mondrian process into an online generative prior conditioned on geometric cues from the current partial map.

Part of the event: MAPLE: A Training-Free Prediction Method for Indoor Exploration

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