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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Main Authors: Burns Chad R., Wang Ranxiao F., Stipanović Dušan M.
Format: Article
Language:English
Published: De Gruyter 2012-06-01
Series:Paladyn: Journal of Behavioral Robotics
Subjects:
Online Access:https://doi.org/10.2478/s13230-012-0021-4
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spelling 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
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