Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics Patrick van der SmagtDaniel Bullock Editorial Introduction Pages: 7 - 10
Searching a Scalable Approach to Cerebellar Based Control Jan PetersPatrick van der Smagt OriginalPaper Pages: 11 - 33
A Scalable Model of Cerebellar Adaptive Timing and Sequencing: The Recurrent Slide and Latch (RSL) Model Bradley J. RhodesDaniel Bullock OriginalPaper Pages: 35 - 48
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning Stefan SchaalChristopher G. AtkesonSethu Vijayakumar OriginalPaper Pages: 49 - 60
Modelling of Complete Robot Dynamics Based on a Multi-Dimensional, RBF-like Neural Architecture Markus KrabbesChristian Döschner OriginalPaper Pages: 61 - 73
A Scalable Intelligent Takeoff Controller for a Simulated Running Jointed Leg Peggy Israel DoerschukVinh NguyenAndrew Li OriginalPaper Pages: 75 - 87
A Self-Organizing Context-Based Approach to the Tracking of Multiple Robot Trajectories Aluizio F.R. AraújoGuilherme de A. Barreto OriginalPaper Pages: 101 - 119