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Robots can now navigate crowded spaces far more effectively by paying closer attention to their immediate neighbors, thanks to a spatial-aware communication strategy that boosts success rates by over 25% in dense environments.
Context inconsistency in stepwise group-based RL can severely bias advantage estimation, but a hierarchical grouping strategy can fix it without extra compute.
Forget global coordinates: EgoPush lets mobile robots rearrange multiple objects using only an egocentric camera and learned object relationships, even in cluttered environments.
Multi-expert systems can suffer from *worse* performance than single-expert systems due to an inherent underfitting problem that arises from the difficulty of identifying the correct expert to defer to.
