Learning of Propulsion Behavior for Three-Link Mechanism Imitating Nematode

Abstract

A link-mechanism that swims in water is considered. It is assumed to consist of three links connected with two joints. It moves in water bending the links. The locomotion is analyzed applying the resistive force theory based on the low Reynolds number hydrodynamics. The neural network is employed to obtain the optimal angular motion of the joints.