Study of the Impact of Delay on Human Remote Navigators with Application to Receding Horizon Control
This paper examines the impact of delays on human performance and human strategies when remotely navigating autonomous vehicles, and develops a robust human inspired delay compensation. Vehicles chosen for the study are ground autonomous vehicles which are allowed to stop, providing an instrumental...
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De Gruyter
2012-06-01
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Series: | Paladyn: Journal of Behavioral Robotics |
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Online Access: | https://doi.org/10.2478/s13230-012-0021-4 |
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doaj-809b7d798f9e4524b60ac65f4c2235f52021-10-02T19:16:34ZengDe GruyterPaladyn: Journal of Behavioral Robotics2081-48362012-06-0132637410.2478/s13230-012-0021-4Study of the Impact of Delay on Human Remote Navigators with Application to Receding Horizon ControlBurns Chad R.0Wang Ranxiao F.1Stipanović Dušan M.2 C. R. Burns graduated with his Ph.D. from the department of Mechanical Science and Engineering at the University of Illinois. He now lives in Champaign Illinois 61821 USA Department of Psychology at the University of Illinois, Champaign, Illinois 61820 USA Department of Industrial and Enterprise Engineering and Coordinated Science Laboratory at the University of Ilinois, Urbana Illinois 61801 USAThis paper examines the impact of delays on human performance and human strategies when remotely navigating autonomous vehicles, and develops a robust human inspired delay compensation. Vehicles chosen for the study are ground autonomous vehicles which are allowed to stop, providing an instrumental feature that enables it to capture some important human behavior. The effects of delay on human behavior when remotely navigating autonomous vehicles have been captured by a nonlinear model predictive (also known as receding horizon) controller. This study provides some insights into designing human in-the-loop systems for remote navigation of autonomous vehicles when the delays are not negligible. We offer a human inspired strategy for dealing with delay in a fully autonomous receding horizon controller which we show to be safe and convergent for bounded delays.https://doi.org/10.2478/s13230-012-0021-4time-delay autonomous controlremote navigationhuman inspired controlhuman-robot interactions |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Burns Chad R. Wang Ranxiao F. Stipanović Dušan M. |
spellingShingle |
Burns Chad R. Wang Ranxiao F. Stipanović Dušan M. Study of the Impact of Delay on Human Remote Navigators with Application to Receding Horizon Control Paladyn: Journal of Behavioral Robotics time-delay autonomous control remote navigation human inspired control human-robot interactions |
author_facet |
Burns Chad R. Wang Ranxiao F. Stipanović Dušan M. |
author_sort |
Burns Chad R. |
title |
Study of the Impact of Delay on Human Remote Navigators with Application to Receding Horizon Control |
title_short |
Study of the Impact of Delay on Human Remote Navigators with Application to Receding Horizon Control |
title_full |
Study of the Impact of Delay on Human Remote Navigators with Application to Receding Horizon Control |
title_fullStr |
Study of the Impact of Delay on Human Remote Navigators with Application to Receding Horizon Control |
title_full_unstemmed |
Study of the Impact of Delay on Human Remote Navigators with Application to Receding Horizon Control |
title_sort |
study of the impact of delay on human remote navigators with application to receding horizon control |
publisher |
De Gruyter |
series |
Paladyn: Journal of Behavioral Robotics |
issn |
2081-4836 |
publishDate |
2012-06-01 |
description |
This paper examines the impact of delays on human performance and human strategies when remotely navigating autonomous vehicles, and develops a robust human inspired delay compensation. Vehicles chosen for the study are ground autonomous vehicles which are allowed to stop, providing an instrumental feature that enables it to capture some important human behavior. The effects of delay on human behavior when remotely navigating autonomous vehicles have been captured by a nonlinear model predictive (also known as receding horizon) controller. This study provides some insights into designing human in-the-loop systems for remote navigation of autonomous vehicles when the delays are not negligible. We offer a human inspired strategy for dealing with delay in a fully autonomous receding horizon controller which we show to be safe and convergent for bounded delays. |
topic |
time-delay autonomous control remote navigation human inspired control human-robot interactions |
url |
https://doi.org/10.2478/s13230-012-0021-4 |
work_keys_str_mv |
AT burnschadr studyoftheimpactofdelayonhumanremotenavigatorswithapplicationtorecedinghorizoncontrol AT wangranxiaof studyoftheimpactofdelayonhumanremotenavigatorswithapplicationtorecedinghorizoncontrol AT stipanovicdusanm studyoftheimpactofdelayonhumanremotenavigatorswithapplicationtorecedinghorizoncontrol |
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1716847437147013120 |