Dynamic balance of a biped robot using f
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Changjiu Zhou; Qingchun Meng
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Article
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2003
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Elsevier Science
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English
โ 412 KB
This paper presents a general fuzzy reinforcement learning (FRL) method for biped dynamic balance control. Based on a neuro-fuzzy network architecture, di erent kinds of expert knowledge and measurement-based information can be incorporated into the FRL agent to initialise its action network, critic