Application of self-adaptive agent model based on sparse density and local complexity in optimization of forearm driving connecting rod of palletizing robot

• Main Authors: HUANG SIZHE, XIANG GE, XU HUANWEI, LI HAO, ZHANG XIN, LI YAHUA
• Format: Patent
• Language: Chinese; English
• Published: 09.03.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses an application of a self-adaptive agent model based on sparse density and local complexity in optimization of a forearm driving connecting rod of a palletizing robot. Because high calculation cost is required for obtaining a real model response value in a complex engineering problem, the invention provides a self-adaptive agent model construction method based on sparse density and local complexity, and the self-adaptive agent model construction method is applied to the optimal design of the small arm driving connecting rod of the stacking robot. The method comprises thesteps: firstly, establishing a model of a stacking robot forearm driving connecting rod, and determining design variables and an optimization target; secondly, generating an initial sample, obtaininga real response, and constructing a sample library; and then, constructing an initial agent model according to the sample library, and constructing a high-precision agent model of the optimization target through the method pr