Information Technology Group #2 · 2/13/2012 1 Information Technology Group #2 Japan & NZ US...

2/13/2012

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Information Technology Group

#2

Japan & NZ US Caverlee, James Texas A&M University RAPID: Earthquake Damage Assessment from Social Media

Japan US Eguchi, Ronald ImageCat, Inc. Koshimura, ShunichiRAPID: The Role of Urban Development Patterns in Mitigating

the Effects of Tsunami Run-up

J-RAPID Japan Koshimura, Shunichi Tohoku University Eguchi, RonaldThe Role of Urban Development Patterns in Mitigating the

Effects of Tsunami Run-up

Japan USFurukawa, Tomonari for

Haley, MarkAnalytical Software Inc.

RAPID: Robots Designed to Assist During Nuclear Catastrophes

- Autonomously Creating 3-D Maps, Collecting Radiation/Other

Data at Japan's Fukushima Nuclear Plants

Japan US Kumar, R. Vijay University of Pennsylvania Yoshida, KazuyaRAPID: Aerial Robots for Remote Autonomous Exploration and

Mapping

J-RAPID Japan Yoshida, Kazuya Tohoku University Kumar, R. Vijay

Aerial Robots for Rapid Response: Remote Autonomous

Exploration and

Mapping

Japan USMahoor, Mohammed

for Andrews, AnnelieseUniversity of Denver Tadokoro, Satoshi

RAPID: CRAWLER Robot with Dual-Use Limbed Locomotion and

Manipulation for Void Inspection

J-RAPID Japan Tadokoro, SatoshiInternational Rescue System

Institute

Mahoor,

Mohammed for

Andrews, Anneliese

CRAWLER Robot with Dual-Use Limbed Locomotion and


Japan US Murphy, Robin Texas A&M University Matsuno, FumitoshiRAPID: Sendai Earthquake and Tsunami- Remote Assessment

Using Land, Sea and Aerial Unmanned Systems

J-RAPID Japan Matsuno, FumitoshiInternational Rescue System

Institute Murphy, Robin

Recovery Activities Using Underwater Robots in Tsunami-

devastated Areas

Japan US Tsugawa, Mauricio University of Florida Hirofuchi, Takahiro IT Virtualization for Disaster Mitigation and Recovery

J-RAPID Japan Hirofuchi, TakahiroThe National Institute of Advanced

Industrial Science and TechnologyTsugawa, Mauricio

IT Virtualization for Disaster Mitigation and Recovery

IT GROUP #2--8 PROJECTS (30 Minutes) Leader: Ron Eguchi

Information Technology Group #2

2/13/2012

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Situational Awareness

Emergency Response

CommunityDamage

Assessment

Remote Sensing Crowdsourcing Social Media

Robust Communications

Virtual Machines

Situational Awareness under

Hazardous Conditions

Robotics Unmanned Vehicles

Community Damage Assessment

Emergency Response

CommunityDamage

Assessment



Virtual Machines

Damage Analysis under Hazardous

Conditions

RoboticsUnmanned

Vehicles

•Caverlee, TAMU – Earthquake

Damage Assessment from Social

Media

•Eguchi, ImageCat & Koshimura,

Tohoku University – The Role of Urban

Development Patterns in Mitigating the

Effects of Tsunami Run-up

2/13/2012

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Earthquake Damage Assessment from Social Media

Japan and NZ Earthquakes RAPID and Research Needs Workshop

Arlington, VA Feb 9 and 10, 2012

• Objective: Assess,

characterize, and model

earthquake damage

using GPS-labeled social

media posted in the

minutes and hours post-

emergency

James Caverlee (Computer Science)

John Mander (Civil Engineering)

Texas A&M University

Twitter-based “intensity”

Key Findings

• Spatial density of all social media posts is consistent

with shaking intensity trend (compared to isoseismal

map)

• Surprisingly, density of social media posts including

photos is highest in seriously-damaged areas,

indicating capacity of images for rapid damage

assessment



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The Role of Urban Development Patterns in Mitigating the Effects of Tsunami Run-up



Purpose of RAPID Grant: to understand the

relationship between urban development patterns

and the extent of physical damage caused by

widespread tsunami run-up.

Technologies & data used:

� Remote-sensing image analysis of pre & post-

earthquake data

� Crowdsourcing techniques for scalable analysis

of the large imagery datasets

� Tsunami simulation models to scale community

results to larger areas or regions.

� Interaction of demographic and social

characteristics with the built environment to

produce safety or mortality in the earthquake

and tsunami.

� US– Ronald T. Eguchi

– John Bevington

– Albert Lin

– James D. Goltz, Consultant

� Japan– Fumio Yamazaki

– Shunichi Koshimura

– Masashi Matsuoka

Key Findings

� The data collected so far indicates

that certain neighborhood

configurations can offer some

protection to community residents

(e.g., parts of Ishinomaki that were

located behind large, coastal wharf

structures) while other configurations

can actually enhance damage and

impacts (e.g., Onagawa).

� Ground survey data are needed in

order to fully characterize the extent

of building damage, i.e., much

damage is missed by only using

remote sensing imagery.

Onagawa

Before

After

Protected

Ishinomaki

Not Protected

Red -

Destroyed



Community-based fragility curves have been developed

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Situational Awareness under


Emergency Response

CommunityDamage

Assessment



Virtual Machines

Situation Awareness under


RoboticsUnmanned

Vehicles

•Furukawa, Analytical Software, Inc. – Robots

Designed to Assist during Nuclear Catastrophes –

Autonomously creating 3-D Maps, Collecting

Radiation/Other Data at Japan’s Fukushima

Nuclear Plants

•Kumar, University of Pennsylvania & Yoshida,

Tohoku University – Aerial Robots for Remote

Autonomous Exploration and Mapping

•Mahoor, University of Denver & Tadokoro,

International Rescue System Institute, Crawler

Robot with Dual-Use Limbed Locomotion and


•Murphy, Texas A&M & Matsuno - Sendai

Earthquake and Tsunami – Remote Assessment

using Land, Sea and Aerial Unmanned Systems;

Recovery Activities using Underwater Robots in

Tsunami-devastated Areas

Enhanced capabilities for Fukushima-type

Rescue Robots



– RAPID Title: Robots designed to assist during

Nuclear Catastrophes - Autonomously creating 3-

D Maps, Collecting Radiation/other data at

Nuclear Power Plants such as at Fukushima

– Mark Haley, President, Analytical Software Inc., TX

– Professor Kenzo Nonami and Professor Mark

Haley, Chiba University, Japan

– Added autonomous capabilities

for iRobot’s Packbot, main robot

currently operating inside

Fukushima

2/13/2012

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Key Findings

• Autonomous Capabilities are key for Fukushima-

type rescue robots - Real-time 3D SLAM and other

technologies which reduce manual operations are

crucial for rescue robots.

• Research focused on adding capabilities to iRobot’s

Packbot, main robot currently operating inside

Fukushima. Japan. In high profile disasters it is

risky to use untested technology in the field.



RAPID: Aerial Robots for

Remote Autonomous Exploration and Mapping



Vijay Kumar and Nathan Michael, University of Pennsylvania

Kazuya Yoshida, Keiji Nagatani, Satoshi Tadokoro and Kazunori Ohno

Tohoku University, Sendai Japan

Objective: Consider 3D mapping and

exploration of a multi-story earthquake-

damaged building in Sendai, Japan via

ground and aerial robots.

Aerial robot “Pelican”

Ground robot “Quince”

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Key Findings

� Successfully mapped the 7th, 8th, and 9th floors of an

earthquake-damaged building via remotely operated

ground robots from Tohoku and an aerial robot from

UPenn.

� Mapping results clearly show locations of structural

damage and environment layout.



9F8F

7F

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RAPID #1135848: Sendai Earthquake & Tsunami- Remote

Assessment Using Land, Sea, & Aerial Unmanned Systems



Center for Robot-Assisted Search & Rescue

(USA)

• Prof. Robin Murphy, Director and Team Leader,

Texas A&M University

• Dr. Eric Steimle, Deputy Team Leader, AEOS Inc.

• Mr. Jesse Rodocker & Mr. Sean Newsome,

SeaBotix, Inc

• Ms. Karen Dreger, University of South Florida

Center for Ocean Technology

• Mr. Richard Smith, Texas A&M Corpus Christi

• Mr. Brian Slaughter, General Dynamics

International Rescue System Institute (Japan)

• Prof. Fumihito Matsuno, VP IRS and government

liaison, and Dr. Kazuyuki Kon, Kyoto University

• Prof. Tetsuya Kimura, Field Team Leader, Nagaoka

University of Technology

• Mr. Kenichi Makabe, Professional Firefighter

• Prof. Satoshi Takokoro, Director IRS, Tohoku

University

• Nobutoshi Hiro, Yudai Hasumi, graduate students

Objective: participatory research in

order to understand human-robot

interaction, sensing for structural

missions, multi-robot coordination,

and GIS integration and reasoning

Objective: participatory research in

order to understand human-robot

interaction, sensing for structural

missions, multi-robot coordination,

and GIS integration and reasoning

2/13/2012

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Key Findings

• Unmanned marine vehicle performance is superior to manual

divers in mission time, coverage, accuracy• 4 remotely operated underwater vehicles, 1 autonomous underwater vehicle• In 6 hours found 104 major submerged objects polluting fishing waters (leaking

cars, boats) or interfering with nets (building debris) in areas searched manually over 6 months and declared clear

• Averaged 212m2/min of underwater area inspection• Re-opened Minamisanriku Port for fishing boats• Assisted Japanese Coast Guard with victim recovery operations in shallow

water and under islands of flotsam

• Research in human-robot interaction, autonomy, and multi-robot

coordination is needed• “Human error” due to poor interface/interaction• Significant number of distributed “consumers” of robot information• Image enhancement improved recognition but did not take advantage of

advances in computer vision• Under-actuated systems prevent accurate position control and station-keeping• Active sonars add a new dimension for coordination of coverage for multiple

robots




Emergency Response

CommunityDamage

Assessment



Virtual Machines

Damage Analysis under Hazardous

Conditions

RoboticsUnmanned

Vehicles

•Tsugawa, University of Florida &

Hirofuchi, The National Institute of

Advanced Industrial Science and

Technology – IT Virtualization for

Disaster Mitigation and Recovery

2/13/2012

10

1139707: IT Virtualization for Disaster

Mitigation and Recovery



This project studies the effectiveness of movable virtualized

datacenters in keeping IT services alive during and after a

disaster by 1) analyzing real data and events associated with

damaged IT services due to the Great East-Japan Earthquake and

2) investigating the joint usage of VM migration (live or using

checkpoints), virtual networking, and shared/replicated storage

for VM images.

• US

– Maurício Tsugawa

– Renato Figueiredo

– José Fortes

• Japan

– Takahiro Hirofuchi

– Hidemoto Nakada

– Ryousei Takano

Key Findings

• The data collected from several institutions indicate that

despite the extreme intensity of the earthquake,

reported damages suffered by IT equipments were

minimal.

• In many datacenters affected by the earthquake, there

was a 30 to 60 minutes window, in which power and

network services were available to move virtualized

systems from a disaster site to a safe location.



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Opportunities for Future Research

• Community Damage Assessment.

• Situational Awareness under Hazardous Conditions

• Robust Communications




• Community Damage Assessment:

i. Use of social networks to enhance traditional

damage assessment methods

ii. Use of high-resolution satellite and aerial images

(pre- and post-event) to quantify tsunami

inundation zones and destroyed building counts

iii. Use of crowdsourcing to perform rapid damage

assessments

• Challenges:

i. Accessibility to datasets

ii. Validation and scaling of results

iii. Translation into actionable information



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• Situational Awareness:

i. Use of autonomous robots to collect real-time, geo-

spatial information (3D mapping, radiation levels)

under extreme conditions.

ii. Use of autonomous, independent aerial robots that

can enter hazardous environments to explore and

map a critical facility.

iii. Use of rugged robots for void inspection in

collapsed buildings

• Challenges:

i. Creation of robust units

ii. For USAR applications, timely deployments

iii. Accurate interpretation of damage conditions from

imagery (Lidar, photos)




• Robust Communications:

i. Quantifying the vulnerability of communication

networks to shaking and tsunami effects.

ii. Creating resilient backbone systems from which to

attach virtual networks.

iii. Modeling inter-lifeline dependencies.

• Challenges:

i. Understanding all critical inter-dependencies that

affect communication performance.

ii. Robustness of movable units or systems.



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Information Technology Group #2 · 2/13/2012 1 Information Technology Group #2 Japan & NZ US...

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