BEGIN:VCALENDAR VERSION:2.0 PRODID:-//128.220.36.25//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Laboratory for Computational Sensing + Robotics X-WR-CALDESC: X-FROM-URL:https://lcsr.jhu.edu X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-11865@lcsr.jhu.edu DTSTAMP:20240329T092456Z CATEGORIES: CONTACT:Ashley Moriarty\; amoriar2@jhu.edu DESCRIPTION:
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Abstract:
This talk will describe how ground\, aeri al\, and marine robots have been used in disasters\, most recently the cor onavirus pandemic. During the pandemic so far\, 338 instances of robots in 48 countries protecting healthcare workers from unnecessary exposure\, ha ndling the surge in demand for clinical care\, preventing infections\, res toring economic activity\, and maintaining individual quality of life have been reported. The uses span six sociotechnical work domains and 29 diff erent use cases representing different missions\, robot work envelopes\, a nd human-robot interaction dyads. The dataset also confirms a model of ad option of robotics technology for disasters. Adoption favors robots that m aximize the suitability for established use cases while minimizing risk of malfunction\, hidden workload costs\, or unintended consequences as measu red by the NASA Technical Readiness Assessment metrics. Regulations do not present a major barrier but availability\, either in terms of inventory o r prohibitively high costs\, does. The model suggests that in order to be prepared for future events\, roboticists should partner with responders n ow\, investigate how to rapidly manufacture complex\, reliable robots on d emand\, and conduct fundamental research on predicting and mitigating risk in extreme or novel environments.\\
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Biography:< /strong>
\nDr. Robin R. Murphy is the Raytheon Professor of Computer
Science and Engineering at Texas A&M University\, a TED speaker\, and an
IEEE and ACM Fellow. She helped create the fields of disaster robotics and
human-robot interaction\, deploying robots to 29 disasters in five countr
ies including the 9/11 World Trade Center\, Fukushima\, the Syrian boat re
fugee crisis\, Hurricane Harvey\, and the Kilauea volcanic eruption. Murph
y’s contributions to robotics have been recognized with the ACM Eugene L.
Lawler Award for Humanitarian Contributions\, a US Air Force Exemplary Civ
ilian Service Award medal\, the AUVSI Foundation’s Al Aube Award\, and the
Motohiro Kisoi Award for Rescue Engineering Education (Japan). She has wr
itten the best-selling textbook Introduction to AI Robotics (2
DTSTART;TZID=America/New_York:20210407T120000 DTEND;TZID=America/New_York:20210407T130000 LOCATION:https://wse.zoom.us/s/94623801186 SEQUENCE:0 SUMMARY:LCSR Seminar: Robin Murphy “From the World Trade Center to the COVI D-19 Pandemic: Robots and Disasters” URL:https://lcsr.jhu.edu/events/robin-murphy/ X-COST-TYPE:free END:VEVENT END:VCALENDAR