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Forget pre-aligned coordinate systems: this decentralized localization framework lets robots start with any orientation and self-aligns, outperforming centralized approaches by 56% in RMSE.
By adaptively weighting neighbor information based on uncertainty, distributed multi-object tracking can achieve significantly better performance in mobile robot networks with heterogeneous localization quality.
