TY - GEN
T1 - QoE-driven Delay-adaptive Control Scheme Switching for Time-delayed Bilateral Teleoperation with Haptic Data Reduction
AU - Xu, Xiao
AU - Zhang, Siyuan
AU - Liu, Qian
AU - Steinbach, Eckehard
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85124366636&partnerID=8YFLogxK
U2 - 10.1109/IROS51168.2021.9636716
DO - 10.1109/IROS51168.2021.9636716
M3 - Conference contribution
AN - SCOPUS:85124366636
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 8838
EP - 8844
BT - IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
Y2 - 27 September 2021 through 1 October 2021
ER -