QoE-driven Delay-adaptive Control Scheme Switching for Time-delayed Bilateral Teleoperation with Haptic Data Reduction

Xiao Xu, Siyuan Zhang, Qian Liu, Eckehard Steinbach

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Teleoperation systems with haptic feedback allow a human user to remotely interact with a dangerous or inac-cessible environment, perform various tasks, and perceive the haptic feedback. To ensure system stability while maintaining the best possible quality of experience (QoE), different teleoperation control schemes and haptic communication strategies need to be selected to adapt to varying network conditions and teleoperation tasks. In this paper, we propose a QoE-driven control scheme switching approach, which adaptively selects the control scheme that provides the best possible QoE for varying communication delay. A transition period is designed to moderate the artifacts during the switching phase. Haptic data reduction approaches are developed for the switching strategy to match the characteristics of each control scheme. Our experiments verify the feasibility of the proposed scheme. Subjective tests confirm that the proposed adaptive switching scheme is able to achieve a superior user QoE in contrast to a fixed control scheme in the presence of varying communication delay up to 200 ms.

Original languageEnglish
Title of host publicationIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8838-8844
Number of pages7
ISBN (Electronic)9781665417143
DOIs
StatePublished - 2021
Event2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021 - Prague, Czech Republic
Duration: 27 Sep 20211 Oct 2021

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
Country/TerritoryCzech Republic
CityPrague
Period27/09/211/10/21

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