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Rescue Robotics u obo Challenge g Satoshi Tadokoro Satoshi Tadokoro Tohoku University / International Rescue System Institute I t ti l R S t I tit t Workshop on Intelligent Systems: A Festschrift for Richard Volts 2010.4.9 Kobe


  1. Rescue Robotics u obo Challenge g Satoshi Tadokoro Satoshi Tadokoro Tohoku University / International Rescue System Institute I t ti l R S t I tit t Workshop on Intelligent Systems: A Festschrift for Richard Volts 2010.4.9

  2. Kobe Earthquake (Jan. 17, 1995) q ( )  Magnitude 7.3  Serious Damage Region 20 x 1 km (13 x 0.6 mi) People seriously effected: 2,300,000 Deaths: 6,432 ++Seriously Injured: 43,800 ++ D th 6 432 ++S i l I j d 43 800 ++ Buildings Damaged: 530,000 fully destroyed: 104 906 fully burnt: 6 148 fully destroyed: 104,906, fully burnt: 6,148, half destroyed: 144,272 Fire: 285 large scale: 14 Fire: 285 large scale: 14 (>10,000m 2 (3600 mi 2 ))  Direct Damage: 10 trillion yen g y (100 billion US$) Kobe, 1995

  3. Predicted Earthquake Disaster q Magnitude Probability in this 30 years Tokai M8.0 87% Nankai M8.4 50% To-Nankai M8.1 60% Nankai + Nankai + M8 5 M8.5 To-Nankai Miyagi Oki Miyagi-Oki M7 5 M7.5 99% 99% (Sendai area) cf. Hanshin Awaji (Kobe): M7.3 (Cabinet Office, Central Disaster Prevention Committee)

  4. Expectation for Robotic Systems by Firefighting Departments of Major Urban Cities in Japan p j p  CBRNE Disaster (out of 49)  Identification of CBRNE materials by sensors  Identification of CBRNE materials by sensors 39 39  Transfer of victims to safe area 30  Removal of CBRNE material 24  Fire Fire  Extinguishment in buildings 30  Search in buildings 25  Extinguishment irrespective of heat radiation 24  Earthquake  Search from above the rubble pile  Search from above the rubble pile 26 26  Search in the rubble pile 22  Remove heavy rubbles 21  Water Water  Search of victims 27  Rescue from water 24 (Japan Fire and Disaster Management Agency, Workshop on Future Firefighting & Disaster Response Robots, Questionnaire to Fire Fighting Departments of 49 Major Cities, 2003)

  5. Expected Functions of Robots  Contribution of Rescue Robots  Rescue operations that are impossible by human p p y  Prevention of secondary damage of responders  Improvement of rapidness As Good Tools of Human Responders A G d T l f H R d  Expected Functions of RT  Surveillance of overview information  Surveillance of overview information  Information gathering of hazmat and environmental conditions  Search and diagnosis of victims Search and diagnosis of victims  Quantitative investigation of damage  Support for recovery To Give Sensors Mobility To Give Sensors Mobility  Life support at refuge  Removal of rubble piles  Medical examination and treatment  Medical examination and treatment

  6. Japan MEXT DDT Project on Rescue Robots 2002-2007, PI: Prof. S. Tadokoro, Intl. Rescue System Inst., Budget: US$20M Information Integration Advanced Rescue Instruments ・ ActiveScope Camera Protocol and Database Surveillance in Rubble Pile ・ Integrated serpentine robot g p ・ Protocol standardization (MISP) Protocol standardization (MISP) ・ Rescue tools (jacks, search ・ Disaster info. database (DaRuMa) cam, power tools, etc.) ・ Network integration and operation ・ Wireless triage tag ( (for rescue logistics) g ) Overview Info. Gathering Surveillance from Sky ・ Integrated UGV ・ Connected mobile mechanism Surveillance in Underground S ill i U d d ・ Jumping robot ・ Human interface for teleop. (virtual bird-eye view, 3D map, standardization, etc.) ・ Small-size helicopter Small size helicopter ・ UWB human body sensor (automatic surveillance) ・ Adhoc network ・ InfoBalloon (monitoring from fixed points) Verification, Training, Demonstration Distributed Sensors ・ Tokyo FD training site ・ Niigata Chuetsu EQ. ・ Rescue ・ JICA Intl. Rescue training Communicator ・ FEMA training site FEMA training site (victim search (victim search ・ Collapsed House Simulation sensor) Facility in Kobe Lab. ・ Firefighters unit, IRS-U

  7. Field+ User-Based Development p  Collapsed House Simulation Facility (2003-2007)  Research and development by repetitive testing and improvement  Research and development by repetitive testing and improvement using test field  IRS-U (2006-) Research & Research &  Volunteer responder corp Development  Captain: Mr. Kenichi Makabe  Feedback to research Feedback to research Loop for Practical Solution Performance Improvement Test Test

  8. Active Scope Camera for Search in Confined Space Co ed Space Video Scope with Search in 3 cm gap Active Surface ( Oct.3, 2006 @ Intl. Disaster (Intl. Rescue System Inst. Relief Team Exercise) Kobe Lab., Collapsed House Simulation Facility) House Simulation Facility) (Tadokoro, Tohoku U)

  9. Ciliary Vibration Drive Mechanism [Actuator2006, IROS2006]  Principle of Motion  Drive by reaction force produced by pressing inclined cilia using vibration  Tips of cilia repetitively stick and slip direction of movement Body ① ③ ② End of Cilia

  10. Active Scope Camera p [IROS2007] Actuation by the whole surface Change the direction of motion

  11. Active Scope Camera p  Advantages  Cable penetrates deep into debris by distributed actuators. Cable penetrates deep into debris by distributed actuators  Horizontal insertion is possible as well as vertical insertion.  Direction of cable motion is controllable. Direction of cable motion is controllable  Cable can avoid or get over obstacles 20 cm high (max).  Cable can climb slopes 20 deg. (max). C bl li b l 20 d ( )  Cable are pulled out smoothly and seldom gets stuck.  Evaluation by Sam Stover (FEMA US&R IN-TF1 l i b S S ( S& 1 Search Team Manager, CRASAR)  Operated Active Scope Camera at the site  Effective also for searching victims in collapsed structures  Expects deployment ASAP

  12. Disaster City, FEMA TX-TF1 Training Site y, g PASSENGER HOUSE OF TRAIN WRECK PANCAKES RUBBLE PILE DWELLING DWELLING THEATER World-largest simulated disaster situations for training of World largest simulated disaster situations for training of Urban Search and Rescue (USAR)

  13. Search in Victim Search in Trains Search under Train Drain Pipe Search through Small Hole g Search in RC Rubble Pile ActiveScope Camera @ FEMA Texas TF1 Training Site Disaster City, 6/18-22/2007 (Tadokoro, Tohoku U) Negotiation with Obstacles

  14. ActiveScope Camera ActiveScope Camera @ FEMA Texas TF1 T TF1 Training Site i i Sit Disaster City 6/18-22/2007 (Tadokoro, Tohoku U)

  15. NHK Morning Show 1/16/2007 ActiveScope Camera N New York Times 6/25/2007 Y k Ti 6/25/2007 (Tadokoro, Tohoku U)

  16. Construction Site Collapse  Berkman Plaza II Parking Garage, Jacksonville FL USA Jacksonville, FL, USA  Dec. 6, 2007 Collapse when workers were pouring concrete on workers were pouring concrete on the top floor  1 death 23 injury  1 death, 23 injury  Forensic investigation: OSHA, owner developer contractor sub owner, developer, contractor, sub- contractors  Fiber scopes, robots, etc. could NOT Fiber scopes robots etc could NOT penetrate deep into the debris.

  17. Deployment at Construction Site Collapse p y p  Dec. 12, 2007 Call-out of Active Scope Camera  Jan. 4-5, 2008 Investigation by Active Scope Camera Jan. 4 5, 2008 Investigation by Active Scope Camera  Responders Team  Prof. Satoshi Tadokoro (Grad. School of Info. Sci., Tohoku U.): ( , ) inventor, instruction, operation, recording  Prof. Toshihiko Nishimura (US Office, Tohoku U.): MD, recording  Prof. Osachika Tanimoto (SFO Center, Osaka U.): structural collapse specialist  Mr. Sam Stover M Sam Sto e ope ation safet operation, safety guidance g idance (FEMA IN-TF1 Tech. Search Team Manager, CRASAR USF):  Prof. Robin Murphy (U. South Florida, Center for Robot Assisted  Prof. Robin Murphy (U. South Florida, Center for Robot Assisted Search and Rescue): recording, HI analysis  Mr. Bill Brack (Bracken Eng.): chief investigator, direction  Researchers from USF: recording, HI analysis

  18. Use for Forensic Investigation  Data Collected at Investigation by Active Scope Camera  Movie image of 7 m deep in debris  Movie image of 7 m deep in debris  Shape and direction of concrete cracks  Shape of concrete flakes, stripped planes p , pp p  Situation of spaces in rubble pile  Why Good?  Compact ----------> can enter narrow gaps  Distributed Actuation --> stable robust drive  Flexibility ----------> adaptable to complex shapes Fl ibilit > d t bl t l h  Controllability ----> search in large spaces in debris  Simple -------------> high reliability in disaster situation  Simple > high reliability in disaster situation  Other Methods? Major Contribution to Forensic Investigation  Other robots - too large g = Effective in Urban Search and Rescue Effective in Urban Search and Rescue  Fiber Scopes - only 1 m deep  Removal by construction machines - lose data

  19. Use at Const. Accident

  20. Cologne Historical Archive Collapse  Search for 2 Search for 2 victims  ASC was called  ASC was called out and deployed  Risk of collapse  Risk of collapse was too high to operate from top Germany, March 3, 2009 y, , of the rubble pile

  21. Letter of Appreciation from Mayer

  22. 1st Prototype yp  2 vibration motors, 12 brush rings  Motor units and cables for bending  Length of brush: 160 mm, Diameter: 68 mm Length of brush: 160 mm Diameter: 68 mm  Weight: 1 kg

  23. Motion of 1st Prototype

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