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• W2034331555 abstract "In this study, neural networks (NN) impedance control is proposed for robot–environment interaction. Iterative learning control is developed to make the robot dynamics follow a given target impedance model. To cope with the problem of unknown robot dynamics, NN are employed such that neither the robot structure nor the physical parameters are required for the control design. The stability and performance of the resulted closed-loop system are discussed through rigorous analysis and extensive remarks. The validity and feasibility of the proposed method are verified through simulation studies." @default.
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• W2034331555 date "2013-07-01" @default.
• W2034331555 modified "2023-10-12" @default.
• W2034331555 title "Neural networks impedance control of robots interacting with environments" @default.
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• W2034331555 doi "https://doi.org/10.1049/iet-cta.2012.1032" @default.
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