Learning Inductive Riemannian Manifold in Abstract Form by Modeling Embedded Dynamical System

Abstract

Manifold learning algorithms do not extract the structure of datasets in an abstract form or they do not have high performance for complex data.In this paper, a method for Learning an Inductive Riemannian Manifold in Abstract form (LIRMA) is presented in which the structure of patterns is determined by solving the embedded dynamical system of the patterns. In order to model corresponding system, the true sequence of patterns is estimated using a topology preserving method.LIRMA has the advantage of being an inductive method with low complexity. Additionally, it is a topology preserving method with respect to quantitative measures.

Research on Gas-Assisted Extrusion of Elastic Material Round-Tube for Flexible Robot Body

“…The mainstream manufacturing methods for flexible robot body include shape deposition, , nanopressure brushing, intelligent microstructure synthesis, and embedded molding. , The existing manufacturing methods , are mainly based on casting molding, with a longer production cycle and complex secondary processing. The manufacturing technology based on gas-assisted extrusion (GAE) forming is mostly used for the processing and manufacturing of round tubes, square tubes, and irregular shapes, which has the advantages of high production efficiency and relatively simple secondary processing procedures.…”

“…The mainstream manufacturing methods for flexible robot body include shape deposition, 14,15 nanopressure brushing, 16 intelligent microstructure synthesis, 17 and embedded molding. 18,19 The existing manufacturing methods 20,21 based on gas-assisted extrusion (GAE) forming is mostly used for the processing and manufacturing of round tubes, square tubes, and irregular shapes, which has the advantages of high production efficiency and relatively simple secondary processing procedures. In this study, the GAE method 22−26 is intended to be used to manufacture the flexible robot body.…”