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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 (up) 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
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Author Tolt, G.; Rydell, J.; Tulldahl, M.; Holmberg, M.; Karlsson, O.; Bissmarck, F.
Title The MAX Drone for Autonomous Indoor Exploration Type Conference Article
Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023
Volume Issue Pages 220-230
Keywords UAV; Exploration; Navigation; Positioning; Autonomy
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.
Address
Corporate Author Thesis
Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
Language English Summary Language Original Title
Series Editor Hosssein Baharmand Series Title (up) Abbreviated Series Title
Series Volume Series Issue Edition 1
ISSN ISBN Medium
Track Technologies for First Responders Expedition Conference
Notes http://dx.doi.org/10.59297/LYTB7325 Approved no
Call Number ISCRAM @ idladmin @ Serial 2520
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