Programming Methods for Industrial Robotics and Expanding Applications

Abstract

Industrial robotics industry is presently experiencing significant growth and is generally recognized as a crucial element within the industrial sector. The technology offered by this system is standardized and well-suited for a wide range of automated operations. This research investigates the industrial robotics industry and its use of standardized technologies to automate diverse operational procedures. This article explores the two primary tactics used in the process of robotization, with the diverse levels of cooperation seen between human beings and robots. The present study examines the control and programming approaches used in the field of information retrieval, together with the notable technological advancements that have arisen within this area. Moreover, it incorporates the many challenges and limitations faced during the installation of automated industrial robot systems. This research places particular emphasis on the use of computer vision-based approaches, deep reinforcement learning techniques, simulations, and synthetic data within the domain of industrial robotics. The article ends by providing an analysis of novel control methodologies and the use of external coordinators in the programming of industrial robots.