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- W4384159685 abstract "We consider the problem of collectively transporting multiple objects using air–ground multirobot teams. The objective is to find the optimal matching between the objects and aerial/ground robots that minimizes the energy of the overall system. We reveal the local optimality criteria for this combinatorial problem and prove that combining a branch and bound algorithm with a negative-cycle canceling algorithm (NCCA) yields an efficient algorithm that provides the globally optimal solution of the problem. Numerical experiments demonstrate the performance on practical problems." @default.
- W4384159685 created "2023-07-14" @default.
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- W4384159685 date "2023-01-01" @default.
- W4384159685 modified "2023-09-24" @default.
- W4384159685 title "Globally Optimal Assignment Algorithm for Collective Object Transport Using Air–Ground Multirobot Teams" @default.
- W4384159685 doi "https://doi.org/10.1109/tcst.2023.3291880" @default.
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