3D simulation of a sensorimotor stealth strategy for camouflaging motion

Abstract

A sensorimotor control system for a biologically inspired stealth strategy (motion camouflage) intended to conceal the motion of a predator from its prey is simulated. The control system is formed from three multilayer perceptrons trained using backpropagation. In the simulation the control system, operating using realistic input information, is shown to be able to track prey moving in 3D space. This extends previous work that has only considered two dimensions.