Disaster Robotics

Murphy, Robin R.; Tadokoro, Satoshı; Kleiner, Alexander

doi:10.1007/978-3-319-32552-1_60

Cited by 119 publications

(62 citation statements)

References 36 publications

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“…The deployments highlight gaps in sensing encountered on previous SUAS deployments (Murphy, 2014). Thermal sensing might have improved the identification of the extent of flooding, as it was difficult to visually distinguish water from the mud.…”

Section: Gaps and Open Research Questionsmentioning

confidence: 98%

“…SUAS use has been reported for 17 disasters, including the SR-530 mudslide incident and a subsequent 2014 mudslide in Collbran, CO. Deployments to 11 of the 17 disasters are analyzed in the book Disaster Robotics (Murphy, 2014) Adams & Friedland (2011). The deployments to Typhoon Haiyan, Philippines (2013) (University of Hawai'i, 2014;UH, 2014); the Boulder, CO floods, USA (2013) (9News, 2013; the Collbran, CO mudslide, USA (2014) (Yoanna, 2014); and the Serbia and Bosnia-Herzegovina floods (2014) (ICARUS, 2014) were reported in the media.…”

Section: Prior and Related Workmentioning

confidence: 99%

“…Following Disaster Robotics (Murphy, 2014), the choice of platforms from within the Roboticists Without Borders membership was based on four questions: What are the expected (and unarticulated) needs for the robot? What are the transportation and logistical arrangements?…”

Section: Platform Selectionmentioning

confidence: 99%

“…The deployments illustrate three general principles in deploying SUASs for disasters (Murphy, 2014): the systems must be portable, the actual missions will be different from the expected missions, so having multiple systems to handle these unanticipated tasks or constraints is important, and responders will always want remote presence capabilities even if the mission is nominally automated data collection. These three principles are not new, but the SR-530 mudslides do pose a warning as to specialization of platforms.…”

Section: Lessons Learned For Operationsmentioning

confidence: 99%

“…Section 2 reviews previous and related work in disaster robotics. Section 3 describes the general missions and selection of platforms using the criteria established in Murphy (2014). Section 4 describes the initial deployment in March 2014, which resulted in zero flights.…”

Section: Introductionmentioning

confidence: 99%

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Use of a Small Unmanned Aerial System for the SR‐530 Mudslide Incident near Oso, Washington

Murphy

Duncan

Collins

et al. 2015

Journal of Field Robotics

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The Center for Robot‐Assisted Search and Rescue deployed three commercially available small unmanned aerial systems (SUASs)—an AirRobot AR100B quadrotor, an Insitu Scan Eagle, and a PrecisionHawk Lancaster—to the 2014 SR‐530 Washington State mudslides. The purpose of the flights was to allow geologists and hydrologists to assess the eminent risk of loss of life to responders from further slides and flooding, as well as to gain a more comprehensive understanding of the event. The AirRobot AR100B in conjunction with PrecisionHawk post‐processing software created two‐dimensional (2D) and 3D reconstructions of the inaccessible “moonscape” region of the slide and provided engineers with a real‐time remote presence assessment of river mitigation activities. The AirRobot was able to cover 30–40 acres from an altitude of 42 m (140 ft) in 48 min of flight time and generate interactive 3D reconstructions in 3 h on a laptop in the field. The deployment is the 17th known use of SUAS for disasters, and it illustrates the evolution of SUASs from tactical data collection platforms to strategic data‐to‐decision systems. It was the first known instance in the United States in which an airspace deconfliction plan allowed a UAS to operate with manned vehicles in the same airspace during a disaster. It also describes how public concerns over SUAS safety and privacy led to the cancellation of initial flights. The deployment provides lessons on operational considerations imposed by the terrain, trees, power lines, and accessibility, and a safe human:robot ratio. The article identifies open research questions in computer vision, mission planning, and data archiving, curation, and mining.

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Section: Gaps and Open Research Questionsmentioning

confidence: 98%

Section: Prior and Related Workmentioning

confidence: 99%

Section: Platform Selectionmentioning

confidence: 99%

Section: Lessons Learned For Operationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Use of a Small Unmanned Aerial System for the SR‐530 Mudslide Incident near Oso, Washington

Murphy

Duncan

Collins

et al. 2015

Journal of Field Robotics

Self Cite

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Machine Learning Effects on Underwater Applications and IoUT

Nain¹,

Goyal²,

Kumar³

2022

Machine Learning Paradigm for Internet of Things Applications

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The current state and future outlook of rescue robotics

Delmerico

Mintchev

Giusti

et al. 2019

Journal of Field Robotics

265

124

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Robotic technologies, whether they are remotely operated vehicles, autonomous agents, assistive devices, or novel control interfaces, offer many promising capabilities for deployment in real-world environments. Postdisaster scenarios are a particularly relevant target for applying such technologies, due to the challenging conditions faced by rescue workers and the possibility to increase their efficacy while decreasing the risks they face. However, field-deployable technologies for rescue work have requirements for robustness, speed, versatility, and ease of use that may not be matched by the state of the art in robotics research. This paper aims to survey How to cite this article: Delmerico J, Mintchev S, Giusti A, et al. The current state and future outlook of rescue robotics.

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Disaster Robotics

Cited by 119 publications

References 36 publications

Use of a Small Unmanned Aerial System for the SR‐530 Mudslide Incident near Oso, Washington

Use of a Small Unmanned Aerial System for the SR‐530 Mudslide Incident near Oso, Washington

Machine Learning Effects on Underwater Applications and IoUT

The current state and future outlook of rescue robotics

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