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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cao, M. Kawamura, A. |
| Copyright Year | 1998 |
| Description | Author affiliation: Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan (Cao, M.) |
| Abstract | We analyse the mechanisms of human walking patterns and propose two design methods of neural oscillatory networks for generating various desired biped walking patterns of an 8 joints model in 3D plane. First, we discuss how the construction and the parameters of the network determine the inner state variable of each neuron in the network. Then we try to use two different methods to build the suitable network which can generate the desired walking patterns. The first method is to lower the system dimension to 3/spl times/n by considering some mechanisms in human walking and solve the connection weights of the network by the harmonic balance method. The second method is to calculate all kinds of connections of the network by genetic algorithms. From the results of simulations the methods were proved to be effective. |
| Starting Page | 2357 |
| Ending Page | 2362 |
| File Size | 499729 |
| Page Count | 6 |
| File Format | |
| ISBN | 078034300X |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.1998.680676 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-05-20 |
| Publisher Place | Belgium |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Design methodology Legged locomotion Humans Humanoid robots Mathematical model Oscillators Rehabilitation robotics Pattern analysis Neurons Animals |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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