Optimal Formation of Multirobot Systems Based on a Recurrent Neural Network.

IEEE Transactions on Neural Networks and Learning Systems(2016)

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摘要
The optimal formation problem of multirobot systems is solved by a recurrent neural network in this paper. The desired formation is described by the shape theory. This theory can generate a set of feasible formations that share the same relative relation among robots. An optimal formation means that finding one formation from the feasible formation set, which has the minimum distance to the initia...
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关键词
Optimization,Recurrent neural networks,Shape,Multi-robot systems,Robot kinematics
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