Concentric spatial maps for neural network based navigation
Guoqing Chao · 1999
A model for navigation based on artificial neural networks is proposed and tested for the task of planning and reaching a goal location in a continuous, dynamic environment. The model is based on the concept of concentric spatial maps, which is a cognitive representation of the surrounding environment in the central nervous system. With the construction and maintenance of these cognitive maps by a specialized neural network architecture, initial results demonstrate the system's ability to reach the goal by continuously fusing sensory inputs from the environment with the cognitive maps in memory to dynamically plan a path to the goal.