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- W125666745 abstract "Humanoid robots are expected to have variety of motions that enables good interaction with real human environment. Making a program for generating several stable motions using the standard programming language such as C is not only time consuming but also hard to understand and tune. For this, a suitable recurrent neural network language (RNN) inspired from neurobiology has been developed. In this paper, a simple method of motion generation based on polynomials generated by RNN is presented. All motions are generated using a basic RNN circuit of a first order polynomial. Using this method it is easy to generate a complex motion of humanoid robot. Furthermore, Feedback controllers can be easily inserted in the RNN circuit of a motion at any desired timing. Both rhythmic and non-rhythmic motion can be generated based on the same strategy. The effectiveness of the proposed method is verified by experimental results." @default.
- W125666745 created "2016-06-24" @default.
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- W125666745 date "2004-01-01" @default.
- W125666745 modified "2023-09-27" @default.
- W125666745 title "Motion Generation of Humanoid Robot based on Polynomials Generated by Recurrent Neural Network" @default.
- W125666745 cites W1526473519 @default.
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