The RoboCup-Rescue Project: A Robotic Approach to the Disaster Mitigation Problem Satoshi...

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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: r-resc@isi.edu

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

r-resc@isi.edu