Research on Sensorimotor System of Robot Based on BP Neural Network
Abstract: Many skills of the natural life are gradually formed and developed during growth and development of indi- vidual organisms. Can a machine be endowed with such characteristics? With the aim, this paper builds a sensorimotor system based on BP neural network for robot. The robot communicates with the environment, and learns negative pho- totaxis. Experiment indicates that the robot with a sensorimotor system based on BP neural network can realize negative phototaxis through several steps of learning, which is the same as the natural life.
文章引用: 戴丽珍 , 阮晓钢 , 于乃功 (2012) 基于BP网络的机器人感觉运动系统研究。 人工智能与机器人研究， 1， 1-5. doi: 10.12677/AIRR.2012.11001
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