Quadrupedal locomotion: GasNets, CTRNNs and Hybrid CTRNN/PNNs compared
作者： Gary McHale , Phil Husbands , None
DOI: 10.7551/MITPRESS/1429.001.0001
关键词:
摘要: Evolutionary Robotics seeks to use evolutionary techniques create both physical and physically simulated robots capable of exhibiting characteristics commonly associated with living organisms. Typically, biologically inspired artificial neural networks are evolved act as sensorimotor control systems. These include; GasNets, Continuous Time Recurrent Neural Networks (CTRNNs) Plastic (PNNs). This paper compare the performance such in solving problem locomotion a quadruped. The results this paper, taken together those other studies (summarized paper) help us assess relative strengths weaknesses these three different approaches.
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