Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Data Requirements for a Digital Twin of a Robot Workcell



Deogratias Kibira, Guodong Shao


The applications of digital twins continue to grow with the volume and variety of data collected. These data support the modeling of function, behavior, and structure of a physical element. However, successfully building a digital twin requires data identification, data fusion, and data management. Thus, despite the increase in data availability, there are still challenges of data usage, especially data scoping and scaling to implement a digital twin for a specific purpose. The objective of this paper is to identify data requirements for various types of digital twins for a robot workcell. The identification includes data description, source, method of collection, and typical data formats. The digital twin types include descriptive digital twins, diagnostics and prognostics digital twins, prescriptive digital twins, and intelligent digital twins. The outcome of this data requirements identification can be used as a guide for developing and validating digital twins for a robot workcell lifecycle.
Proceedings Title
Proceedings of the 2023 Winter Simulation Conference
Conference Dates
December 10-13, 2023
Conference Location
San Antonio, TX, US
Conference Title
Winter Simulation Conference


Digital twin types, Data categories, Robot workcell, Simulation, MTConnect, Standards


Kibira, D. and Shao, G. (2024), Data Requirements for a Digital Twin of a Robot Workcell, Proceedings of the 2023 Winter Simulation Conference, San Antonio, TX, US, [online], (Accessed April 15, 2024)
Created February 1, 2024, Updated February 26, 2024