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Dynamic balance of a bipedal robot using neural network training with simulated annealing
This work proposes using an evolutionary optimization method known as simulated annealing to train artificial neural networks. These neural networks are used to control posture stabilization of a humanoid robot in a simulation. A total of eight multilayer perceptron neural networks are used. Althoug...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366121/ https://www.ncbi.nlm.nih.gov/pubmed/35966372 http://dx.doi.org/10.3389/fnbot.2022.934109 |