Closed-Loop Manual Control With Tactile or Visual Feedback Under Wireless Link Impairments

The emergence of low-latency wireless connectivity has opened significant new possibilities for closed-loop human-machine interaction (HMI) systems. However, data transmission, particularly over wireless links, suffers from impairments, such as random latency fluctuations and packet loss, affecting the overall control performance of HMI systems. In this study, we have evaluated the impact of wireless impairments for a closed-loop joystick-controlled trajectory tracking task. This has been done with two different types of feedback, visual and tactile, respectively. Wireless links were used both in the uplink transmission of command signal and the downlink transmission of feedback signal. The effects of wireless impairments were incorporated by artificially introducing latency, jitter, and packet loss recorded in real-life deployment scenarios, both in the uplink and the downlink. The results obtained across 12 healthy participants showed that the tracking performance was better with visual feedback than with tactile feedback across all impairment conditions. The average latency significantly affected performance, while random latency fluctuations did not. Interestingly, the performance degradation due to increasing impairments in case of tactile feedback was similar to the one observed for visual feedback. One of the main novelties brought by this study is the quantification of the impact of wireless impairments on closed-loop teleoperation tasks with tactile feedback. The results provide valuable insights for designing wireless infrastructure for tactile internet applications.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Haptics
Published
2025-02-20
DOI
https://doi.org/10.1109/toh.2025.3544134
Citations
1
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
1.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Closed-Loop Manual Control With Tactile or Visual Feedback Under Wireless Link Impairments

Strahinja Došen, Jimmy Jessen Nielsen, Federico Chiariotti, Suraj Suman et al.
1 citations
IEEE Transactions on Haptics
Gaze Tracking and Assistive Technology
1.94
article

Closed-Loop Manual Control With Tactile or Visual Feedback Under Wireless Link Impairments

Strahinja Došen, Jimmy Jessen Nielsen, Federico Chiariotti, Suraj Suman, Čedomir Stefanović, Pranav Mamidanna, Petar Popovski
article en
1 citations

Abstract

The emergence of low-latency wireless connectivity has opened significant new possibilities for closed-loop human-machine interaction (HMI) systems. However, data transmission, particularly over wireless links, suffers from impairments, such as random latency fluctuations and packet loss, affecting the overall control performance of HMI systems. In this study, we have evaluated the impact of wireless impairments for a closed-loop joystick-controlled trajectory tracking task. This has been done with two different types of feedback, visual and tactile, respectively. Wireless links were used both in the uplink transmission of command signal and the downlink transmission of feedback signal. The effects of wireless impairments were incorporated by artificially introducing latency, jitter, and packet loss recorded in real-life deployment scenarios, both in the uplink and the downlink. The results obtained across 12 healthy participants showed that the tracking performance was better with visual feedback than with tactile feedback across all impairment conditions. The average latency significantly affected performance, while random latency fluctuations did not. Interestingly, the performance degradation due to increasing impairments in case of tactile feedback was similar to the one observed for visual feedback. One of the main novelties brought by this study is the quantification of the impact of wireless impairments on closed-loop teleoperation tasks with tactile feedback. The results provide valuable insights for designing wireless infrastructure for tactile internet applications.

IEEE Transactions on HapticsVol. 18(2)
Indian Institute of Technology Patna (IN), University of Padua (IT), Aalborg University (DK)
Department of Science and Technology, Ministry of Science and Technology, India, Science and Engineering Research Board
Openalex Percentile: Top 19%
Gaze Tracking and Assistive Technology
1.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.