Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics
Searching a Scalable Approach to Cerebellar Based Control
A Scalable Model of Cerebellar Adaptive Timing and Sequencing: The Recurrent Slide and Latch (RSL) Model
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Modelling of Complete Robot Dynamics Based on a Multi-Dimensional, RBF-like Neural Architecture
A Scalable Intelligent Takeoff Controller for a Simulated Running Jointed Leg
Evolving Receptive-Field Controllers for Mobile Robots
A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories