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Collaborative Multi-Robot Multi-Human Teams in Search and Rescue
Ryan K. Williams
author
Nicole Abaid
author
James McClure
author
Nathan Lau
author
Larkin Heintzman
author
Amanda Hashimoto
author
Tianzi Wang
author
Chinmaya Patnayak
author
Akshay Kumar
author
2020
Virginia Tech
Blacksburg, VA (USA)
English
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.
Search \& Rescue
Autonomy
Lost-Person Modeling
GIS
Visualization
rywilli1@vt.edu
exported from refbase (http://idl.iscram.org/show.php?record=2288), last updated on Mon, 29 Jun 2020 07:59:34 +0200
text
http://idl.iscram.org/files/ryankwilliams/2020/2288_RyanK.Williams_etal2020.pdf
RyanK.Williams_etal2020
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management
Iscram 2020
Amanda Hughes
editor
Fiona McNeill
editor
Christopher W. Zobel
editor
17th International Conference on Information Systems for Crisis Response and Management
2020
Virginia Tech
Blacksburg, VA (USA)
conference publication
973
983
2411-3473
978-1-949373-27-87
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