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Author |
Ryan K. Williams; Nicole Abaid; James McClure; Nathan Lau; Larkin Heintzman; Amanda Hashimoto; Tianzi Wang; Chinmaya Patnayak; Akshay Kumar |
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Title |
Collaborative Multi-Robot Multi-Human Teams in Search and Rescue |
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Conference Article |
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Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
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Pages |
973-983 |
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Keywords |
Search \& Rescue; Autonomy; Lost-Person Modeling; GIS; Visualization |
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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. |
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Address |
Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
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Edition |
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ISSN |
978-1-949373-27-87 |
ISBN |
2411-3473 |
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Track |
Technologies for First Responders |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
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Notes |
rywilli1@vt.edu |
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no |
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Call Number |
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Serial |
2288 |
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Author |
Tolt, G.; Rydell, J.; Tulldahl, M.; Holmberg, M.; Karlsson, O.; Bissmarck, F. |
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Title |
The MAX Drone for Autonomous Indoor Exploration |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Volume |
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Issue |
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Pages |
220-230 |
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Keywords |
UAV; Exploration; Navigation; Positioning; Autonomy |
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Abstract |
This paper presents the concept and prototype implementation of a drone for Multi-purpose Autonomous eXploration of indoor environments – MAX. The purpose of MAX is to support first responders in the difficult task of assessing unknown and potentially dangerous or hostile situations in indoor or underground environments. The approach for addressing challenges associated with this task has been to construct a custom-designed drone based on requirements and conditions of first responder missions. This paper reports on the first phase of development of the MAX drone, aimed for experimentation with autonomy functionality in first responder contexts and for enabling further development of advanced higher-level planning functions. It describes the overall design of the MAX drone, its capabilities in terms of robust positioning and autonomous mission execution, along with the status of key enabling algorithms for exploration, such as target point selection and path planning. |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Series Volume |
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Series Issue |
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Edition |
1 |
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Track |
Technologies for First Responders |
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Notes |
http://dx.doi.org/10.59297/LYTB7325 |
Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2520 |
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