Report of Breakout Sessions and Future Prospect Group IV: ICT and Robotics

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1 J-RAPID Symposium Report of Breakout Sessions and Future Prospect Group IV: ICT and Robotics Leader: Fumitoshi Matsuno International Rescue System Institute (IRS) / Kyoto University Sub-Leader: Mauricio Tsugawa University of Florida March 7, 2013

2 Five Cyclic Stages of Disaster Emergency response Initial Operation Stage (~2 or 3 weeks) Chaos Stage (~ 2 or 3 days) Transition Disaster Normal Stage Early Recover Stage (~3 or 4 months) Late Recover Stage (~2 or 3 years) Reconstruction/Recovery Prevention Mitigation

3 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Mitigation Emergency response Prevention /Preparedness Recovery /reconstruction

4 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Prof. M. Shoji Prof. E Ikegami Prof. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

5 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Prof. M. Shoji Prof. E Ikegami Prof. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

6 Simulation of the 2011 tsunami propagation and inundation along the Tohoku coasts

7 JC-FVCOM JC-FVCOM was driven by the same meteorological forcing and output of Global-FVCOM at the nested boundary

8 2011 Tohoku tsunami inundation along Sendai Coast Measured Computed

9 Comparison of the surface spread of 137Cs on June 1

10 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Prof. M. Shoji Prof. E Ikegami Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

11 Social Networking Service in the Crisis and Immediate Post-Catastrophe Response Processes Masahiko Shoji, International University of Japan Tomoaki Watanabe, International University of Japan Counterpart PI: Eiko Ikegami, New School for Social Research 17

12 Objectives The Great East Japan Earthquake was an internationally rare event: a large-scale disaster in a developed country with advanced ICT network in use. This joint research aims to explore how information sharing and community formation through social networks influenced the actual disaster response after the Great East Japan Earthquake. Another goal is to recommend preparatory measures for earthquakes and other disasters that may occur in the future in other regions at home and abroad. 18

13 The Characteristics of Clusters Cluster 1 (Active SNS users): 13% of the total respondents Active Internet use. Heavily used SNS are mixi, Twitter, Facebook. Unlike Cluster II, there is no bias toward anonymous social media platforms. Cluster II (2ch, Twitter users): Represents 12.5% of the total. The focus is on PC ; Twitter and 2ch usages are high; but use of mixi, blogs and Facebook is low. Some orientation to anonymous communication can be seen here. Cluster III (bloggers): Represents 8.5% of the total. A group of users who use nothing but and blogs. Cluster IV (mixi, game users): Represents 10.4% of the total. Use of mobile , mixi and games is high. We presume focus on mobile phone use. Cluster V (mobile users): This is the largest cluster comprising 37.1% of the total. They are users who almost exclusively use the functions of mobile phones. Virtually no use of social media. Cluster VI (passive users): Represents 18.5% of the total. No use other than limited PC . Virtually no use of social media. 20

14 Summary: Clusters x Use Types x Media Cluster I (active SNS), II (2ch, Twitter) and III (bloggers): each consistent in its own way, irrespective of the target factor. Cluster IV (mixi, games) and V (mobile ) show a bias toward private relations. Cluster VI (inactive users): private relations is extremely low. Cluster VI (inactive users): exclusively for work, not for private purposes. active SNS 2ch, Twitter bloggers mixi, games mobile Cluster inactive users Public Private Twitter Public SNS Pablic Private

15 Summary and Recommendations Lack of hyper-local information for daily life. Local governments are not good at dealing with uncertain information. On the other hand, private sector is faster and more flexible. Need to use multiple media TV, Radio, Newspaper, Telephone, Mobile Phone, , Social Media, Face to Face Community FM stations have great potential Government should develop media strategies to reach everybody. government and people should prepare appropriate systems, and make plans and conduct emergency drills to share essential information and help each other. Anxiety and communication need Face to face communication is needed by some people to appease anxiety. 22

16 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Prof. M. Shoji Prof. E Ikegami Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

17 Population Screening and Protection in Response to Radiological Incidents Eva K. Lee, Ph.D. Director, Center for Operations Research in Medicine and HealthCare Professor, Industrial & Systems Engineering, Georgia Institute of Technology Co-Director, NSF I/UCRC Center for Health Organization Transformation Distinguished Scholar in Health Systems, Health Systems Institute, Georgia Tech / Emory University School of Medicine eva.lee@gatech.edu

Objective(s): Minimize distance/time travelled by each household and total facility setup costs Some Potential

18 Determine #s of Screening/Decon Centers Task: Determine where and how many: Study the impact of the number of screening & decontamination centers on the average travel distance/time. Model has many variations. Objective(s): Minimize distance/time travelled by each household and total facility setup costs Some Potential Constraints: Each affected household is assigned to exactly one facility Only a limited number of facilities can be opened Every household must be served

19 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Prof. M. Shoji Prof. E Ikegami Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

20 INTERNATECH Interdisciplinary study on the mitigation of Natech risks in a complex world: learning from Japan experience applying ERRA NaTech method, integ- Risk project Atsuo Kishimoto, AIST, Japan Adrien Willot, INERIS, France 32

21 Natech is an acronym of Natural hazards triggered technological accidents, which bridges the gap between natural disasters and industrial safety. France team engineering Japan team Social science ERRA means Emerging Risks Representative (industrial) Applications. Interdisciplinary study on the mitigation of Natech risks in a complex world: learning from Japan experience applying ERRA NaTech method, integ-risk project The 3.11 Earthquake was the ultimate Natech case. Existing Natech research was done with mainly earthquakes, floods, and lightning strikes. Tsunami is relatively new to Natech community. Natech is complex in several senses, Physically (Industrial complex) Chemically (Many chemicals) Economically (Supply chain) Governance (regulatory structure) One of the European Commission FP7 projects. One of 17 case studies (ERRA) was Natech. 33

22 (Extended ) Natech risk analysis framework Mechanical models Fragility curves Natural hazards Industrial facilities Physical damages The main results of Japan team Chemical Fires and Economic releases explosion damages Human and s ecological effects Supply chain effects CGE models 36

23 CGE model Comparison with Actual Data We compared the simulation results for industrial production with the actual data. The following results are still preliminary. We need to further research on the modeling. Actual data: Index of Industrial Production Model Simulation 37

24 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Prof. M. Shoji Prof. E Ikegami Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

25 Humanitarian logistics in the Tohoku disasters 2011 Japanese PI: Eiichi Taniguchi, Kyoto University Counterpart PI: José Holguín-Veras, RPI

Major Outcomes 1) Important to prepare for worst case scenario of catastrophic events which require humanitarian logistics 2) Necessary to integrate all segments of society 3) Modelling local

26 Major Outcomes 1) Important to prepare for worst case scenario of catastrophic events which require humanitarian logistics 2) Necessary to integrate all segments of society 3) Modelling local distribution of relief supplies to displaced people to minimise the shortage of supplies relief distribution of emergency goods Sufficiency rate (%) 凡例 : 充足度 (%)

27 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

28 Ground and Aerial Robots for Rapid Response: Remote Autonomous Exploration and Mapping Japanese PI: Counterpart PI: Kazuya Yoshida, Tohoku University Vijay Kumar, University of Pennsylvania Overview/purpose of the project Develop the technology necessary to enable extensive exploration of damaged buildings by combining ground-based and aerial-flying robots. Problem and proposed solution: Ground-based robots have limitation of mobility to steep steps or walls. Aerial robots have a very short operation time. Aerial robots are transported by ground robots and take off/land on them. Experiments were conducted in a building that was critically damaged by the 2011 East Japan earthquake. Results: Full 2D/3D maps of the building floors were successfully obtained. The maps clearly show the features of the environment

32 9F 8F 7F

33 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

34 Reliability-enhanced Robots with Map-based Teleoperation and Semi-Autonomous Capabilities US PI: Tomonari Furukawa, Virginia Tech Overview/purpose of the project To develop a highly reliable robot that works under various unexpected circumstances Major Outcomes 1) Map-based teleoperation with no camera use and for immediate use by untrained operators 2) Self return under communication loss 3) Implementation and demonstration on irobot s Packbot

36 60m 67m

37 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

38 J-RAPID: Search in Disaster Rubble Piles by Collaboration of CRAWLER and Active Scope Camera Satoshi Tadokoro, Tohoku University, International Rescue System Institute and Anneliese Andrews and Mohammad Mahoor University of Denver NSF-JST JRAPID

Disaster Relief Team Exercise) (Tadokoro, Tohoku U) Search in

39 Active Scope Camera for Search in Confined Space Video Scope with Active Surface (Oct.3, Intl. Disaster Relief Team Exercise) (Tadokoro, Tohoku U) Search in 3 cm gap (Intl. Rescue System Inst. Kobe Lab., Collapsed House Simulation Facility)

40 Use at Construction Accident Jan. 4-5, Jacksonville, FL Gathered evidence info. 7 m deep Shape & direction of RC cracks Shape & cross section of flakes Image of spaces inside Impossible by other equipment size, mobility, controllability (Tadokoro, Tohoku U Murphy, USF)

41 Deep Search Tool for 10m- Total length :10m New mechanism design of cable-motor system with scalability More mobility at bent void with complex shape

42 New ASC System Controller Air Compressor Wired Comm. Cable Remote Control PC Horizontal Motion Camera + LED 2-DOF Bending Mechanism Bending Head

43 Experimental Result

44 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

45 Recovery Activities Using Underwater Robots in Tsunami-devastated Areas Fumitoshi Matsuno International Rescue System Institute (IRS) / Kyoto University Robin Murphy Center for Robot Assisted Search and Rescue (CRASAR) Texas A&M University J-RAPID Symposium March 6, 2013

46 ROV : Remotely Operated Vehicle SeaBotix In using sonar-equipped undersea robots to comb debris at ports and search for bodies in tsunami-devastated areas. Collected data were accumulated and managed by using GIS. Seamor AC-ROV

47 Minami-sanriku, MiyaziApril 19, 20 Old port Mission : Inspection of a port for recovery Symbol of recovery of town New port

48 Rikuzen-takata, Iwate April Request from mayor and disaster countermeasure office of Iwate prefecture Mission : Search a body, 830 (April, 20th) missing persons

49 Inspection of Ports and Fishing Grounds for Recovery of Fishing Industry Oct. 23, 24, 2011 Utatsu fishery cooperative, Miyagi Oct. 25, 26, 2011 Shizugawa fishery cooperative, Miyagi

50 Data management system of collected information by GIS

51 Summary of ICT and Robotics Session Normal Time Disaster Emergency time Prof. E. Taniguchi Prof. J. Holguin-Veras Dr. A. Kishimoto Dr. A. Willot Prof. E. Lee Dr. J. Sasaki Prof. C. Chen Mitigation Prevention /Preparedness Emergency response Recovery /reconstruction Prof. K. Yoshida Prof. V. Kumar Dr. T. Hirofuchi Prof. M. Tsugawa Prof. T. Furukawa Prof. S. Tadokoto Prof. A. Anneliese Prof. F. Matsuno Prof. R. Murphy T

52 IT VIRTUALIZATION FOR DISASTER MITIGATION AND RECOVERY Takahiro Hirofuchi Hidemoto Nakada Ryousei Takano AIST Disaster site Maurício Tsugawa Renato Figueiredo José Fortes University of Florida Virtual Machine (VM)

53 Project Overview This project studies the effectiveness of movable virtualized datacenters in keeping IT services alive during and after a disaster by investigating the joint usage of VM migration (live or using checkpoints), virtual networking, and shared/replicated storage for VM images. The efforts focused on the following thrusts: 1.Analysis of data and events associated with damaged IT services due to the Great East-Japan Earthquake. 2.Scalability studies of wide-area VM live-migration 3.Scalability studies of wide-area VM backup and check-pointing 4.An architecture to deploy IT infrastructures in virtualized and distributed datacenters that is resilient to partial physical infrastructure failures

54 Inter-datacenter Migration Protocol Live VM Migration over WAN Datacenter A Transparent Mobile IPv6 Tunnel Live Disk Migration over WAN Wide Area Network Virtual Machine (VM) Disk Datacenter B IT service maintenance 77

ICT/Robotics Main Areas Robotic Reliability/Mobility Debris Mapping Systems Improved

inspection Robotics Ground-based and aerial robot integratio Unmanned marine vehicle

Infrastructure Sufficiency 凡例 : 充足度 rate (%) 0.0-20.0 20.0-40.0 40.0-60.0 60.0-80.

55 ICT/Robotics Main Areas Robotic Reliability/Mobility Debris Mapping Systems Improved imaging processing Improved actuators Decision Support Systems Snake-like robot for inspection Robotics Ground-based and aerial robot integratio Unmanned marine vehicle For population protection and emergency response Information Modeling IT Infrastructure Sufficiency 凡例 : 充足度 rate (%) For humanitarian logistics Tsunami and 137Cs dispersion modeling IT service maintenance

56 Risk and Crisis Management Risk Management Prevention Disaster Crisis Management Response, Mitigation, Recovery T Quality of Infrastructure Quality of Life QOI(%) or QOL(%) t 0 Rapid response to minimize damage of disaster ICRT (Information, Communication and Robot Technology) plays an important role. T

57 Future Prospect of ICT and Robotics Normal Time Mitigation Disaster Emergency Time Emergency response Prevention /Preparedness Recovery /reconstruction Damage estimation Awareness Information Modeling QOI(%) or QOL(%) 100 Analysis of disaster for Early Warning Estimate instant of disaster occurrence Information Modeling Acceleration of emergency response Resiliency IT Infrastructure 0 t 0 Mitigation, Preparedness Robotics T

58 Hazard Analysis Prevention Education/City design Preparedness Compensation of lack of resource and knowledge Emergency response Contribution of ICRT (Information, Communication and Robot Technology) Early warning system Mitigation Seismic motion simulator Tsunami simulator Diffusion simulator of radiation Broadcast system of information to danger area Earthquake-resistant building Support system for disaster prevention education Heterogeneous Aerial/Grand/Marine robot system Decision support system Victim support system Big data management system ICRT innovates on prevention/preparedness, mitigation, emergency response, and reconstruction/recovery of disaster

59 Thank you for your attention.

Note that some are my own photos, comments, and opinions - Not necessary reflecting WB GFDRR s views

1 Session 7: The Recovery Process Note that some are my own photos, comments, and opinions - Not necessary reflecting WB GFDRR s views Yuichi Ono Professor, International and Regional Cooperation Office