Digital Twins for Robot Systems in Manufacturing

Published

October 26, 2024

Author(s)

Ali Malik, Guodong Shao, Jane Tarakhovsky

Abstract

The surging demand for industrial automation is propelling the use of robots, with emerging trends like autonomous mobile robots and collaborative robotic arms swiftly gaining widespread popularity. Simultaneously, a growing focus is on simplifying the process of developing, installing, reconfiguring, and operating robot systems to achieve manufacturing adaptability. The concept of a Digital Twin, which replicates the behavior of a complex system in a virtual environment for analysis and optimal operations is gaining traction in the robotics space. In the realm of robotics, a Digital Twin is expected to address the challenges associated with designing, testing, commissioning, and operational reconfigurations. However, achieving this requires the creation of a Digital Twin that accurately represents various dimensions of a robotic system in a manufacturing context. This study explores the components of a robot system that need to be modeled in a comprehensive Digital Twin, creating a reliable virtual copy of a physical robot system. A Digital Twin of this kind can be utilized throughout the lifecycle of the physical robot installation across a range of different use cases.

Citation

Digital Twins, Simulation, and Metaverse

Publisher Info

Springer, 529 14th St NW, DC

Pub Type

Book Chapters

Download Paper

Local Download

Keywords

Robotics, Digital Twin, Flexible automation, Manufacturing systems, Simulation, System design

Citation

Malik, A. , Shao, G. and Tarakhovsky, J. (2024), Digital Twins for Robot Systems in Manufacturing, Digital Twins, Simulation, and Metaverse, Springer, 529 14th St NW, DC, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957479 (Accessed October 31, 2024)