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SenseSwarm: Accelerating Robot Swarm Mapping with Neural Structure Estimation and Shared World Anticipation

SenseSwarm runs a lightweight 709K-parameter map predictor on the swarm's shared occupancy map and folds the predicted structure back into a stigmergy-based guidance field, fine-tuning it on the swarm's own multi-front observations; a single-robot predictor fails on such views.

Part of the event: SenseSwarm proposes a swarm mapping method based on shared expectations

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