RoboCup Rescue Simulation

 
No.
Team Name
Disaster Maps Simulated & Winning Score of Each Team (Score Point V)
Total
Rank
Aug. 4 (Sat)
Aug. 5 (Sun)
Aug. 6 (Mon)
9:00-
12:30-
15:00-
9:00-
12:30-
15:00-
9:00-
YabAI
Gemini
ISI-JAIST
JaistR
Arian
NIT
RMIT
1
YabAI
7 (18.2565)
6 (19.3625)
7 (29.3857)
7 (41.5956)
4 (28.5506)
2 (30.4815)
6 (13.2305)
39
2
2
Gemini-R
3 (56.8933)
5 (21.4629)
3 (45.6748)
3 (56.8082)
3 (51.8539)
4 (25.5616)
5 (15.2404)
26
5
3
Rescue-ISI-JAIST
5 (30.7056)
2 (27.7510)
4 (40.5552)
5 (43.7608)
6 (22.3071)
6 (24.4420)
2.5 (17.2266)
30.5
3
4
Arian Simulation Team
6 (30.3787)
7 (17.2783)
6 (33.4425)
4 (54.7166)
7 (22.3053)
3 (27.3619)
7 (10.2446)
40
1
5
JaistR
4 (30.7062)
3 (22.8194)
5 (38.5520)
1 (62.8445)
5 (22.3113)
7 (24.4106)
4 (17.2266)
29
4
6
NITRescue
2 (58.8915)
4 (22.4699)
2 (66.8879)
6 (43.7592)
2 (54.8634)
1 (36.7906)
2.5 (17.2266)
19.5
6
7
RMIT-ON-FIRE
1 (60.9129)
1 (36.8519)
1 (35.6395)
2 (62.8402)
1 (56.8618)
5 (24.7488)
1 (17.5042)
12
7

Note: RMIT-ON-FIRE developed only fire agents and used sample codes for the other agents.  Therefore, simple comparison is not fair.

Top team gets the largest score in simulation of the same map.  If 7 teams are valid, the winner gets 7.
 

Final Competitions

Procedure

Top 4 teams make a tournament by the score point (evaluation value V).

Semi Final A Score

August 9 (Thu) 9:00-
Preliminary
Game Rank
Team Name
Score Point (V)
Winning Point
GeminiR-2 map
NIT-2 map
2
YabAI
17.2792331741
17.6728162788
2
3
Rescue-ISI-JAIST
20.2402455260
20.4167472486
0

Semi Final B Score

August 9 (Thu) 11:00-
Preliminary
Game Rank
Team Name
Score Point (V)
Winning Point
Note
GeminiR-2 map
NIT-2 map
RMIT map
1
Arian
13.2451824319
20.2565185571
19.2300132388
1
 *
4
JaistR
14.6632544855
16.3553287093
17.3933319876
2
 **

Note *: In NIT-2 and RMIT maps, more civilian agents accidentally escaped from collapsed buildings at the first stage in JaistR trials.  This caused Arian's loss of games.
Note **: JaistR was disqualified because his code included a part which could not refute the claim that it did not follow the gentlemen's rule.  Although it was apparently a careless mistake, the committee could not help deciding the disqualification.  The detail will be explained soon.

3rd Position

Semi Final Group
Team Name
Final Rank
A
Rescue-ISI-JAIST
3

Final Score

Semi Final
Group
Team Name
Score Point (V)
Winning
Point
Final
Rank
August 10 (Fri) 9:45-
committee map
   
A
YabAI
 
???
???
 
???
B
Arian
 
???
???
 
???

Participating Teams

No. Team Name Team Members
(Affiliations)
Technical Appeal Points
1 YabAI Takeshi Morimoto
(University of Electro-Communications, Japan)
Behavior of agents is switched according to the distribution of disater.
2 Gemini-R Masayuki Ohta
(Tokyo Institute of Technology, Japan)
Agent strategies are determined according to the optimal order of rescue activities and allocation of man-power that has been automatically learned by simulation results.
3 Rescue-ISI-JAIST Takayuki Ito, Milind Tambe, Ranjit Nair, Stacy Marsella
(Information Science Institute / University of Southern California, USA; Japan Advanced Institute of Science and Technology, Japan)
Cooperative and autonomous rescue activities are generated.
4 Arian Simulation Team Jafar Habibi, Mazda Ahmadi, Mohammad Badry, Hossein HadiPour, Farshid Marbooti, Ali Nouri 
(Sharif University of Technology, Iran)
???
5 JaistR Kosuke Shinoda
(Japan Advanced Institute of Sience and Technology, Hokuriku, Japan)
Each Agents has learning mechanism based on Organizational Learning.
6 NITRescue Tetsuya Ezaki, Taku Sakushima, Nobuhiro Ito, Yoshiki Asai,
(Nagoya Institute of Technology, Japan)
Cooperation of multiple agents is important in a dynamic environment as the RoboCup-Rescue simulation.   Cooperative behabior of agents is defined as a group behavior of agents.  A dynamic grouping algorithm is developed.
7 RMIT-ON-FIRE Lin Padgham, James Harland, John Thangarajah, Naveen Ruwanpura, Chandaka Fernando 
(Royal Melbourne Institute of Technology University, Australia)
BDI intelligent agent system. Development primarily by final year undergraduates using JACK BDI agent development environment.