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Hierarchically Consistent Motion Primitives for Quadrotor Coordination (1905.00500v1)
Published 1 May 2019 in cs.RO and cs.MA
Abstract: We present a hierarchical framework for motion planning of a large collection of agents. The proposed framework starts from low level motion primitives over a gridded workspace and provides a set of rules for constructing higher level motion primitives. Our hierarchical approach is highly scalable and robust making it an ideal tool for planning for multi-agent systems. Results are demonstrated experimentally on a collection of quadrotors that must navigate a cluttered environment while maintaining a formation.