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The RoboCup-Rescue Project:
A Robotic Approach to the Disaster Mitigation
Problem
Satoshi Tadokoro Hiroaki Kitano Kobe Univ. Sony CS Lab.
The RoboCup-Rescue Committee
The RoboCup Federation
2000 IEEE Intl. Conf. On Robotics & Automation, San Francisco, April 27, 2000
Earthquake Disaster > 3 times/year
Top 10 earthquakes in the 20th century
Expected Contribution ofRobotics
Industrial Robot Contribution Save workers from 3D jobs
Demanding, Dirty, Dangerous Cost Reduction Efficiency Improvement Quality Improvement
Rescue Robot Contribution …...
(Kawasaki Heavy Industry Co.)
RoboCup (Robot Soccer WorldCup)
Grand Challenge:“Autonomous humanoid team wins WorldCup championship until 2050.”
35 countries3,000 researchers
Technology transfer for Socially important problems Future industries Human welfare
Soccer and Search & Rescue
Dream of Robotics and AI
If mighty robot If mighty robot heroesheroes
in SF and comics …..in SF and comics …..
(Mighty Atom, Osamu Tezuka) (Gundam)
RoboCup-Rescue Objectives From Simulation to Real Robots
Real-Time Decision Support by Simulation
Rescue Robots Development Digitally Empowered Rescue Agents Social Infrastructure for Safety
A Grand Challenge of Robotics and AI
Simulation Project
Fire spread modelMass behavior model
Building collapse map
Tsunami modelSeismic motion model
liquefaction model
Traffic flow model Traffic mapCombustion model
Disaster Simulator
InternationalInterdiciplinary Research Cooperation via Internet
Rescuer agent
Commander agent
Victim agent
Back supporter agent
Disaster Prevention / Search & Rescue Agents
Fire fighter agent
Mass psychology
Structural vibration model
Fluid dynamics model
Robot agent
Doctor agent
Generic Disaster PreventionSearch & Rescue
Artificial IntelligenceRobotics
Police agent
Plugge
d-In by
Researcher
s Wor
ldwi
de
Real WorldInterface
Mission-CriticalMan-Machine
Interface
Fire spread modelMass behavior model
Building collapse map
Tsunami modelSeismic motion model
liquefaction model
Traffic flow model Traffic mapCombustion model
Disaster Simulator
InternationalInterdiciplinary Research Cooperation via Internet
Rescuer agent
Commander agent
Victim agent
Back supporter agent
Disaster Prevention / Search & Rescue Agents
Traffic Signals Evacuation SIgnalsGas Valves Water GatesElectricity Controls Rescue RobotsArmy
Fire fighter agent
Mass psychology
Structural vibration model
Fluid dynamics model
Knowledge Collectionfrom Specialists
Robot agent
Doctor agent
Generic Disaster PreventionSearch & Rescue
Artificial IntelligenceRobotics
Professors AnalystsLawyers EconomistsDoctors
AR Presentation of Information
Behavior CommandTransmission
Virtual DisasterExperience
Victims Mass media RescuersFire FIghters Police VolunteersDoctors Commanders Disaster Control Center Prime Minister President Mayer Politicians
Workers Students ChildrenShopping Malls Museums
Police agent
Disaster InformationCollection
SeismometersTsunami MetersVideo Cameras Reconnaissance PartiesMobile Telecommunicators
Action Command Transmission
Disaster InformationCollection
Victims Mass media
Plu
gge
d-In
by
Rese
arch
ers W
orld
wid
e
Real-World Interface Integration of Sensors and
Machines Distributed in the city Automated data collection of disaster
Integration of Social Infrastructures Control and supervise disaster
prevention activities
Human Interface Integration of Human and Virtual World Digitally Empowered Rescue Agents
Wearable computer Information augmentation
Advanced Emergency Response Center Efficient decision making Ubiquitous ER center function
Behavior Planning Challenge
Complex Constraints Incomplete
information Real-time decision Numerous
heterogeneous agents
Effect of logistics
Complex objectives Life saving Prevention of
secondary disaster Data collection Long-tem / short-
term
Intelligence for Real-World Planning
Simulator Advantages Effect of agent activities
Action Strategy Mutual effect of primary/secondary
disasters Accuracy
Distributed computation & open architecture
Cost Effectiveness Rapid Development
Social Contributions Real-time disaster mitigation
advancement Worldwide standardization of
emergency decision support in disasters Control of infrastructure systems for
disaster mitigation Civilians’ optimal behavior in disasters Training of emergency response
Perspective
Advanced Search & Rescue Operation
Integration
SimulationProject
Robotics &Infrastructure
ProjectCivilEngineering
DisasterPrevention
Science
Architecture
InformationScience
MechanicalEngineering
ElectricalEngineering Politics
CrisisManagement
RoboCup-Rescue Roadmap
～ 2000.6 Open Prototype Simulator in Public andCall for Participants(Hakodate Japan Open, ICMAS Boston, Melbourne RoboCup WC, etc.)
～ 2001.8 1st Research Evaluation Conference～ 2005.4 Full-Scale Simulation～ 2020 Contribution in Real Disaster Fields～ 2050 Mighty Rescue Robots in Practice
Contemporary ‘Thunderbird’ for S&R
Conclusions
A New RoboCup Challenge Disaster mitigation, emergency response and s
earch & rescue problem New grand challenge of AI and robotics Creation of social safety and peace
Call for Participants After July, Visit http://www.robocup.org Alpha Testing Request: [email protected]
RoboCup-Rescue Simulator Image
RoboCup-Rescue Image by H. Takahashi (Port & Harbour Research Institute)
RoboCup-Rescue Image by Kuwata (NTT Data Co.)
RoboCup-Rescue Simulator Prototype Call for Participants
After July, Visit http://www.robocup.org Alpha Testing Request to
