Fibration trees unify projections and decompositions for multi-robot planning; Fibration-RRT generalizes quotient and discrete RRT, is probabilistically complete, and solves problems up to 96 DOF via user-defined trees.
Fast-dRRT*: Efficient Multi-Robot Motion Planning for Automated Industrial Man- ufacturing
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Introduces probabilistically complete and asymptotically optimal sampling-based planners for multi-modal multi-robot multi-goal path planning by adapting standard methods to the composite space of all robots.
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Fibration Trees: A Unified Approach to Multi-Robot Motion Planning
Fibration trees unify projections and decompositions for multi-robot planning; Fibration-RRT generalizes quotient and discrete RRT, is probabilistically complete, and solves problems up to 96 DOF via user-defined trees.
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Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning
Introduces probabilistically complete and asymptotically optimal sampling-based planners for multi-modal multi-robot multi-goal path planning by adapting standard methods to the composite space of all robots.