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.

PUBLICATIONS

Wireless Time Sensitive Networking for Industrial Collaborative Robotic Workcells

Published

Author(s)

Susruth Sudhakaran, Karl Montgomery, Mohamed Hany, Dave Cavalcanti, Rick Candell

Abstract

In this paper, we describe a collaborative robotic workcell testbed enabled by Wireless Time Sensitive Networking (WTSN) technologies and discuss deployment, performance measurement and management guidelines challenges. We detail the methodologies for implementing and characterizing the performance of key WTSN capabilities (time synchronization and time-aware scheduling) over IEEE 802.11/Wi-Fi. We deployed WTSN capabilities on the National Institute of Standards and Technology (NIST) collaborative robotic workcell testbed consisting of two robotic arms that emulates a material handling application, known as machine tending. We further explore configurations and measurement methodologies to characterize Quality of Experience (QoE) of this use case and correlate it to the performance of the wireless network.
Conference Dates
June 9-11, 2021
Conference Location
Linz, AT
Conference Title
17th IEEE International Conference on Factory Communication Systems (WFCS)
Pub Type
Conferences

Download Paper

https://doi.org/10.1109/WFCS46889.2021.9483447
Local Download

Keywords

Wireless TSN, IEEE 802.11, Collaborative Robotics
Wireless (RF), Robotics in manufacturing, Next generation networks and Factory communications

Citation

Sudhakaran, S. , Montgomery, K. , Hany, M. , Cavalcanti, D. and Candell, R. (2021), Wireless Time Sensitive Networking for Industrial Collaborative Robotic Workcells, 17th IEEE International Conference on Factory Communication Systems (WFCS), Linz, AT, [online], https://doi.org/10.1109/WFCS46889.2021.9483447, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932571 (Accessed April 25, 2024)

Created September 22, 2021, Updated November 29, 2022