Orthogonal Moment Features for Use With Parametric and Non-Parametric Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
The spatial semantic hierarchy
Artificial Intelligence
From neural networks to the brain: autonomous mental development
IEEE Computational Intelligence Magazine
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This paper presents a novel Topological Map of Place Cells model for autonomous robots. In such a model the robot acquires and stores perceptions using a basic memory provided by our proposed growing self-organizing map. Context sensitive cells aim to obtain Place Cells whose activation is dependent on a remembrance process that fires the recollection of stored memories from current robot perceptions. The map is a graph of interconnected and topologically organized Place Cells. The robots notion of localization is primary guided by the recollection process, while vestibular stimuli estimates and a historic of lastly visited places disambiguate conflicting simultaneously activated Place Cells. The results are promising.