Analysis of Filtration Process Influence on the Results of Thermal Imaging Control of the Subsurface Defect’s Geometry in Solving Control Problems of Collaborative Robotic Systems

Abstract

Abstract The paper proposes and experimentally verifies an approach for estimating the thermal imaging error depending from the method of the subsurface defect’s linear dimensions filtering for forming the appropriate commands of the control program in a collaborative robotic system. The results are presented for the absolute error estimation depending on the filtration method with a confidence probability p=0,9972.