MAD learns recurrent latent dynamics to reconstruct robocentric occupancy and visibility grids, yielding higher success rates and faster flight than vision-only baselines in simulation and real-world quadrotor experiments.
Learning agility adaptation for flight in clutter,
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MAD: Mapping-Aware World Models for Agile Quadrotor Flight
MAD learns recurrent latent dynamics to reconstruct robocentric occupancy and visibility grids, yielding higher success rates and faster flight than vision-only baselines in simulation and real-world quadrotor experiments.