Faust Direct and Inverse Model Acquisition by Function Decomposition (original) (raw)

International Conference on Robotics and Automation, 1995

Abstract

A computational approach to direct and generalizedinverse model acquisition is presented. The approach isbased on a proposed method to direct model acquisitionfrom partial information. The method decomposes anhyper-space function in one variable functions, simplifyingthe learning problem. The acquired direct model is thenimplemented in a tree-like structure that can be used in theinverse sense without additional learning effort.Our approach is able

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