Stochastic training of a biologically plausible spino-neuromuscular system model

Abstract

A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems that processes sensory information in a way similar to humans. Artificial neural networks have been an increasingly popular option for thisbecause they consist of processing units… (More)
DOI: 10.1145/1276958.1277011

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