Motion planning of truss-type robot: acquisition and representation of criterion by modular neural network

Abstract

Discusses a neural network approach to the acquisition of the criterion for the motion planning of the truss-type robot. The modular formation is employed for the motion planning neural network in order to represent the acquired criterion as well as the kinematical constraint. The feasibility and the effectiveness of the proposed approach is demonstrated through the simulation studies for the truss-type robot of helical mast.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>