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Robotic goal-based semi-autonomous a...

Hunt, Shawn.

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Robotic goal-based semi-autonomous algorithms improve remote operator performance.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Robotic goal-based semi-autonomous algorithms improve remote operator performance./
Author:	Hunt, Shawn.
Description:	159 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-12, Section: B, page: 7691.
Contained By:	Dissertation Abstracts International71-12B.
Subject:	Engineering, Robotics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3427272
ISBN:	9781124311463

Robotic goal-based semi-autonomous algorithms improve remote operator performance.
Hunt, Shawn.

Robotic goal-based semi-autonomous algorithms improve remote operator performance. - 159 p.

Source: Dissertation Abstracts International, Volume: 71-12, Section: B, page: 7691.

Thesis (Ph.D.)--Wayne State University, 2010.

The focus of this research was to determine if reliable goal-based semi-autonomous algorithms are able to improve remote operator performance or not. Two semi-autonomous algorithms were examined: visual servoing and visual dead reckoning. Visual servoing uses computer vision techniques to generate movement commands while using internal properties of the camera combined with sensor data that tell the robot its current position based on its previous position. This research shows that the semi-autonomous algorithms developed increased performance in a measurable way. An analysis of tracking algorithms for visual servoing was conducted and tracking algorithms were enhanced to make them as robust as possible. The developed algorithms were implemented on a currently fielded military robot and a human-in-the-loop experiment was conducted to measure performance.

ISBN: 9781124311463Subjects--Topical Terms:

1018454
Engineering, Robotics.

Robotic goal-based semi-autonomous algorithms improve remote operator performance.
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020 $a 9781124311463
035 $a (UMI)AAI3427272
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100 1 $a Hunt, Shawn. $3 1684525
245 1 0 $a Robotic goal-based semi-autonomous algorithms improve remote operator performance.
300 $a 159 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-12, Section: B, page: 7691.
500 $a Advisers: Abhilash Pandya; R. Darin Ellis.
502 $a Thesis (Ph.D.)--Wayne State University, 2010.
520 $a The focus of this research was to determine if reliable goal-based semi-autonomous algorithms are able to improve remote operator performance or not. Two semi-autonomous algorithms were examined: visual servoing and visual dead reckoning. Visual servoing uses computer vision techniques to generate movement commands while using internal properties of the camera combined with sensor data that tell the robot its current position based on its previous position. This research shows that the semi-autonomous algorithms developed increased performance in a measurable way. An analysis of tracking algorithms for visual servoing was conducted and tracking algorithms were enhanced to make them as robust as possible. The developed algorithms were implemented on a currently fielded military robot and a human-in-the-loop experiment was conducted to measure performance.
590 $a School code: 0254.
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0771
710 2 $a Wayne State University. $b Computer Engineering. $3 1026606
773 0 $t Dissertation Abstracts International $g 71-12B.
790 1 0 $a Pandya, Abhilash, $e advisor
790 1 0 $a Ellis, R. Darin, $e advisor
790 1 0 $a Witus, Gary $e committee member
790 1 0 $a Mahmud, Syed $e committee member
790 1 0 $a Auner, Greg $e committee member
790 $a 0254
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3427272