Evolution of a Control Architecture for a Mobile Robot
作者： Marc Ebner
DOI: 10.1007/BFB0057632
关键词: Distributed computing 、 Mobile robot 、 Obstacle avoidance 、 Robot control 、 Artificial neural network 、 Mobile robot navigation 、 Robot learning 、 Adaptive system 、 Artificial intelligence 、 Evolutionary robotics 、 Personal robot 、 Social robot 、 Computer science 、 Genetic programming
摘要: Most work in evolutionary robotics used a neural net approach for control of mobile robot. Genetic programming has mostly been computer simulations. We wanted to see if genetic is capable evolve hierarchical architecture simple reactive navigation on large physical First, we evolved algorithms robot using Then repeated one the experiments with The results achieved are summarized this paper.
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