A behavior-based mobile robot architecture for Learning from Demonstration.

Proposes a modular, behavior-based control architecture for autonomous mobile robots, which is suited for 'Learning from Demonstration' experiments in the spatial domain. Online learning of sensory-motor behaviors; Discussion of results using radial basis function-approximation, growing neutral cell structures and probabilistic models for progress estimation.