Transcript The RoboCup-Rescue Project

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
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> 3 times/year
Top 10 earthquakes in the 20th century
Expected Contribution of
Robotics
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Industrial Robot Contribution
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Save workers from 3D jobs
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Demanding, Dirty, Dangerous
Cost Reduction
Efficiency Improvement
Quality Improvement
Rescue Robot Contribution
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…...
(Kawasaki Heavy Industry Co.)
RoboCup
(Robot Soccer WorldCup)
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Grand Challenge:
“Autonomous humanoid team
wins WorldCup championship
until 2050.”
35 countries
3,000 researchers
Technology transfer for
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Socially important problems
Future industries
Human welfare
Soccer and Search & Rescue
Dream of Robotics and AI
If mighty robot
heroes
in SF and comics …..
(Mighty Atom, Osamu Tezuka)
(Gundam)
RoboCup-Rescue Objectives
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From Simulation to Real Robots
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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
Disaster Sim ulator
Disaster Preven tio n / Search & Rescu e Ag ents
Pl ug g ed -In b y
Re se arch e rs W o rl d w id e
Doctor a g ent
Traffic flow m odel
Traffic m ap
Com m ander ag en t
Com bustion m odel
Fire spread m odel
Rescuer a g ent
Mass behavior m odel
Intern ation al
Robot ag ent
Ma ss psycholog y
Interdiciplin ary Research
Building colla pse m a p
Cooperation via In ternet
Fire fig hter ag ent
Structura l vibration m odel
Generic Disaster Prevention
Tsunam i m odel
Police ag ent
Search & Rescue
Seism ic m otion m odel
Artificial Intellig ence
Victim a g ent
Fluid dyna m ics m odel
Robotics
Ba ck supporter a g ent
liq uefaction m odel
Disaster Sim u l ato r
Disaster Preven tio n / Search & Rescu e A g en ts
K n ow led g e Collectio n
fro m Sp ecialists
Profe ssors A na lysts
La w ye rs Eco n o m ists
Do cto rs
Disaster In fo rm atio n
Collectio n
Victim s Ma ss m e di a
Disaster In fo rm atio n
Collectio n
Missio n-C ritica l
Ma n-Ma chine
Interfa ce
Plug g ed -In b y
Re se arch e rs W o rld w id e
Do ctor a g e n t
Tra ffic flow m odel
Tra ffic m a p
Com m a nder a g en t
Com bu stio n m o del
Fire spre a d m odel
Rescu er a g e nt
Ma ss b eh a vi or m o de l
In tern atio n al
Ro b ot a g e nt
Ma ss p sych o l o g y
In terd i cip lin ary Research
Buil din g colla pse m a p
Co o p eratio n vi a In tern et
Fire fig hter a g ent
Structu ra l vi bra ti on m od el
Gen eric Di sas ter Preven ti o n
Tsu na m i m ode l
Police a g ent
Search & Rescu e
Seism ic m o tio n m ode l
A rtificial In tellig en ce
Victim a g ent
Flu id d yna m ics m o de l
Ro b o tics
Ba ck sup po rter a g e nt
liq uefa ction m odel
A R Presen tatio n o f In fo rm atio n
Vi ctim s Ma ss m e d ia Re scue rs
Fire FIg hters Poli ce Vo lun tee rs
Do cto rs Co m m a n de rs
Disa ste r Co ntrol C en te r
Virtu al Disa ster
Prim e Min iste r Presi de nt
Ma yer Pol iticia ns
Exp eri en ce
W ork ers Stude nts Chi ld ren
Beh avio r Co m m an d
Sh op p in g Ma lls Mu seu m s
Tran sm issio n
Rea l W orld
Interfa ce
Seism om eters
Tsun a m i Mete rs
Video Ca m e ra s Reconna i ssa n ce Pa rties
Mob il e Tel ecom m u nica tors
A ctio n Co m m an d Tran sm issio n
Tra ffic Sig na ls Eva cu a ti on SIg n a ls
Ga s Va lves W a te r Ga tes
El e ctri city C o n tro l s Re scu e Ro b ots
A rm y
Real-World Interface
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Integration of Sensors and Machines
Distributed in the city
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Automated data collection of disaster
Integration of Social Infrastructures
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Control and supervise disaster prevention
activities
Human Interface
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Integration of Human and Virtual World
Digitally Empowered Rescue Agents
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Wearable computer
Information augmentation
Advanced Emergency Response Center
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Efficient decision making
Ubiquitous ER center function
Behavior Planning Challenge
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Complex Constraints
 Complex objectives
 Incomplete information
 Life saving
 Real-time decision
 Prevention of
secondary disaster
 Numerous
heterogeneous agents
 Data collection
 Effect of logistics
 Long-tem / short-term
Intelligence for Real-World Planning
Simulator Advantages
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Effect of agent activities
 Action Strategy
Mutual effect of primary/secondary disasters
 Accuracy
Distributed computation & open architecture
 Cost Effectiveness
Rapid Development
Social Contributions
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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
Information
Science
Electrical
Engineering
Civil
Engineering
Disaster
Prevention
Science
Simulation
Project
Crisis
Management
Mechanical
Engineering
Robotics &
Infrastructure
Project
Politics
Architecture
Integration
Advanced Search & Rescue Operation
RoboCup-Rescue Roadmap
～2000.6
～2001.8
～2005.4
～2020
～2050
Open Prototype Simulator in Public and
Call for Participants
(Hakodate Japan Open, ICMAS Boston,
Melbourne RoboCup WC, etc.)
1st Research Evaluation Conference
Full-Scale Simulation
Contribution in Real Disaster Fields
Mighty Rescue Robots in Practice
Contemporary ‘Thunderbird’ for S&R
Conclusions
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A New RoboCup Challenge
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Disaster mitigation, emergency response and
search & rescue problem
New grand challenge of AI and robotics
Creation of social safety and peace
Call for Participants
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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
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Call for Participants
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After July, Visit
http://www.robocup.org
Alpha Testing Request to
[email protected]