Methodological Remarks on CPG-Based Control of Flapping Flight

Abstract

This paper is a companion to Chung and explores the applications of neurobiologically inspired control systems in the form of Central Pattern Generators (CPG) to control flapping flight dynamics. We introduce two-layer CPGs to mimic current hypotheses of mammalian studies. It is shown that symmetry breaking to initiate and recover from a turning maneuver is an effective control strategy. Attempts at dissociating slow dynamics are shown and preliminary comparisons of wing motions between biological fliers and artificial CPG networks are made.

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