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Autonomous robot teams that simultaneously dispatch transportation tasks are playing more and more an important role in present logistic centers and manufacturing plants. In this paper we consider the problem of robot motion planning for large robot teams in the industrial domain. We present adaptive road map optimization (ARMO) that is capable of adapting the road map in real time whenever the environment has changed. Based on linear programming, ARMO computes an optimal road map according todoi:10.1109/iros.2011.6094734 dblp:conf/iros/KleinerSM11 fatcat:gmaroujgqfd2jmbddaad5lgeuy