The overall performance of multi-robot collaborative systems is significantly affected by the multi-robot task *** improve the effectiveness,robustness,and safety of multi-robot collaborative systems,a multimodal mult...
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The overall performance of multi-robot collaborative systems is significantly affected by the multi-robot task *** improve the effectiveness,robustness,and safety of multi-robot collaborative systems,a multimodalmulti-objectiveevolutionaryalgorithm based on deep reinforcement learning is proposed in this *** improved multimodalmulti-objectiveevolutionaryalgorithm is used to solve multi-robot task allo-cation ***,a deep reinforcement learning strategy is used in the last generation to provide a high-quality path for each assigned robot via an end-to-end *** with three popular multimodalmulti-objectiveevolutionaryalgorithms on three different scenarios of multi-robot task allocation problems are carried out to verify the performance of the proposed *** experimental test results show that the proposed algorithm can generate sufficient equivalent schemes to improve the availability and robustness of multi-robot collaborative systems in uncertain environments,and also produce the best scheme to improve the overall task execution efficiency of multi-robot collaborative systems.
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