ISCRAM Digital Library
Home
|
Show All
|
Simple Search
|
Advanced Search
Login
Quick Search:
Field:
main fields
author
title
publication
keywords
abstract
area
conference
contains:
...
1–1 of 1 record found matching your query (
RSS
):
Search & Display Options
Search within Results:
Field:
author
title
year
keywords
abstract
type
publication
abbrev_journal
volume
issue
pages
thesis
publisher
place
editor
series_title
language
area
notes
call_number
serial
contains:
...
Exclude matches
Display Options:
Field:
all fields
keywords & abstract
additional fields
records per page
Select All
Deselect All
<<
1
>>
List View
|
Citations
|
Details
Record
Links
Author
Ryan K. Williams
;
Nicole Abaid
;
James McClure
;
Nathan Lau
;
Larkin Heintzman
;
Amanda Hashimoto
;
Tianzi Wang
;
Chinmaya Patnayak
;
Akshay Kumar
Title
Collaborative Multi-Robot Multi-Human Teams in Search and Rescue
Type
Conference Article
Year
2020
Publication
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
Iscram 2020
Volume
Issue
Pages
973-983
Keywords
Search \& Rescue
;
Autonomy
;
Lost-Person Modeling
;
GIS
;
Visualization
Abstract
Robots such as unmanned aerial vehicles (UAVs) deployed for search and rescue (SAR) can explore areas where human searchers cannot easily go and gather information on scales that can transform SAR strategy. Multi-UAV teams therefore have the potential to transform SAR by augmenting the capabilities of human teams and providing information that would otherwise be inaccessible. Our research aims to develop new theory and technologies for field deploying autonomous UAVs and managing multi-UAV teams working in concert with multi-human teams for SAR. Specifically, in this paper we summarize our work in progress towards these goals, including: (1) a multi-UAV search path planner that adapts to human behavior; (2) an in-field distributed computing prototype that supports multi-UAV computation and communication; (3) behavioral modeling that yields spatially localized predictions of lost person location; and (4) an interface between human searchers and UAVs that facilitates human-UAV interaction over a wide range of autonomy.
Address
Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech
Corporate Author
Thesis
Publisher
Virginia Tech
Place of Publication
Blacksburg, VA (USA)
Editor
Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
978-1-949373-27-87
ISBN
2411-3473
Medium
Track
Technologies for First Responders
Expedition
Conference
17th International Conference on Information Systems for Crisis Response and Management
Notes
rywilli1@vt.edu
Approved
no
Call Number
Serial
2288
Share this record to Facebook
Select All
Deselect All
<<
1
>>
List View
|
Citations
|
Details
Home
CQL Search
|
Library Search
|
Show Record
|
Extract Citations
Help