Article ID Journal Published Year Pages File Type
407266 Neural Networks 2010 8 Pages PDF
Abstract

A comparison of behavior-based and planning approaches of robot control is presented in this paper. We focus on miniature mobile robotic agents with limited sensory abilities. Two reactive control mechanisms for an agent are considered—a radial basis function neural network trained by evolutionary algorithm and a traditional reinforcement learning algorithm over a finite agent state space. The control architecture based on localization and planning is compared to the former method.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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