Quantifying the Effects of Network Latency for a Teleoperated Robot

Author:

Noguera Cundar Adriana1ORCID,Fotouhi Reza1ORCID,Ochitwa Zachary1ORCID,Obaid Haron2

Affiliation:

1. Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada

2. Department of Medical Imaging, University of Saskatchewan, Saskatoon, SK S7N 0W8, Canada

Abstract

The development of teleoperated devices is a growing area of study since it can improve cost effectiveness, safety, and healthcare accessibility. However, due to the large distances involved in using teleoperated devices, these systems suffer from communication degradation, such as latency or signal loss. Understanding degradation is important to develop and improve the effectiveness of future systems. The objective of this research is to identify how a teleoperated system’s behavior is affected by latency and to investigate possible methods to mitigate its effects. In this research, the end-effector position error of a 4-degree-of-freedom (4-DOF) teleultrasound robot was measured and correlated with measured time delay. The tests were conducted on a Wireless Local Area Network (WLAN) and a Virtual Local Area Network (VLAN) to monitor noticeable changes in position error with different network configurations. In this study, it was verified that the communication channel between master and slave stations was a significant source of delay. In addition, position error had a strong positive correlation with delay time. The WLAN configuration achieved an average of 300 ms of delay and a maximum displacement error of 7.8 mm. The VLAN configuration showed a noticeable improvement with a 40% decrease in average delay time and a 70% decrease in maximum displacement error. The contribution of this work includes quantifying the effects of delay on end-effector position error and the relative performance between different network configurations.

Funder

University of Saskatchewan, College of Medicine

Royal University Hospital Foundation

Senescyt program

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference22 articles.

1. Barattini, P., Vicentini, F., Virk, G.S., and Haidegger, T. (2019). Human-Robot Interaction: Safety, Standardization, and Benchmarking, CRC Press, Taylor & Francis Group.

2. Hua, C., Yang, Y., Yang, X., and Guan, X. (2019). Analysis and Design for Networked Teleoperation System, Springer. Available online: http://link.springer.com/book/10.1007/978-981-13-7936-9.

3. Cui, J., Tosunoglu, S., Roberts, R., Moore, C., and Repperger, D.W. (2003, January 8–9). A Review of Teleoperation System Control. Proceedings of the Florida Conference on Recent Advances in Robotics, Boca Raton, FL, USA.

4. Zhang, D., and Wei, B. (2020). Human-Robot Interaction: Control, Analysis, and Design, Cambridge Scholars Publishing.

5. Development and assessment of a telesonography system for musculoskeletal imaging;Obaid;Eur. Radiol. Exp.,2021

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