Greedy Kalman-Swarm lets individual robots improve state estimates by greedily fusing available neighbor relative sensing data, yielding better swarm accuracy than independent filters while remaining functional under missing data.
Parameter estimation and optimal control of swarm-robotic systems: A case study in distributed task allocation
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Greedy Kalman-Swarm: Improving State Estimation in Robot Swarms in Harsh Environments
Greedy Kalman-Swarm lets individual robots improve state estimates by greedily fusing available neighbor relative sensing data, yielding better swarm accuracy than independent filters while remaining functional under missing data.