Unfortunately the logs and results’ detail has been lost
You can see the Semi-Finals logs and results here.
Semi-Finals team codes are here.
Apollo_Rescue – Agent & Multi-Agent Challenge
AUST_KYLIN – Agent & Multi-Agent Challenge
CSU_Yunlu – Agent & Multi-Agent Challenge
NAITO-Rescue – Agent & Multi-Agent Challenge
NAITO-Rescue – Infrastructure Competition
RoboAKUT – Agent & Multi-Agent Challenge
S.O.S. – Agent & Multi-Agent Challenge
GUC_ArtSapience – Agent & Multi-Agent Challenge
Kherad – Agent & Multi-Agent Challenge
MRL – Agent & Multi-Agent Challenge
Poseidon – Agent & Multi-Agent Challenge
Ri-one – Agent & Multi-Agent Challenge
SEU-Jolly – Agent & Multi-Agent Challenge
Y-Rescue – Agent & Multi-Agent Challenge
Visser recommended for some theoretical background Mircea’s master thesis, which he published (University of Amsterdam) after his successful participation in last years multi-agent competition.
For more information take a look at https://github.com/RMASBench/RMASBench .
You can download the latest stable multi agent server from here.
You will get an RMASBench folder containing 4 sub-folders (projects):
You need java, ant and maven. you can install them by using following command.
sudo apt-get install ant openjdk-7-jdk maven #choose openjdk-7-jdk sudo update-alternatives --config java sudo update-alternatives --config javac
Make sure your JAVA_HOME is point to the jdk 1.7 .
All this software must be compiled before being able to run the RSLB2 tool. This can be easily achieved by using ant with the proper target for each subfolder:
If everything compiles well (you can ignore warnings, but not errors!), you are now ready to start testing.
Normally, you will run experiments from within the RSLB2/boot folder. Get into that folder and check out the launcher’s options:
cd RSLB2/boot ./start.sh -h
You can now launch an example scenario using any of the included algorithms. When testing, include the
-v flag to enable the simulation viewer. For example, you can run the example scenario with the included example experiment configuration by running:
./start.sh -v -c example -m paris -s example-nopolice
This will start a simulation of the example paris scenario without blockades nor police forces. Alternatively, you can run with the police forces and blockades enabled by running the following (notice the
-b switch which enables blockades, as well as the change of the scenario file to use):
./start.sh -v -b -c example -m paris -s example-police
Warning: The first time you run a scenario of a map (default is “paris”), the simulator will pre-compute a number of things about the map. This process takes a lot of time (up to one hour depending on your machine), during which you will see the progress on the terminal where you launched the simulation from.
Warning: If error occurred first remove the cache folder.
When the simulation finishes, you get a results file for each of the algorithms in your experiment. The paths to these results files are displayed in the terminal (right after all agents finish connecting).
|Agent & Multi-AgentCompetition|
|Team Name||Team Leader|
|MRL||Pooya Deldar Gohardani|
|LarvicSaurus||Kevin Christian Rodrأguez Siu|
|RobotAKUT||H. Levent Akin|
|MRL||Pooya Deldar Gohardani|
The 2015 rules are now available (pdf).
Please fill the team description submission form http://roborescue.sourceforge.net/submission.htm
Pre-Registered teams are:
For more info, click on Continue reading Pre-registered Teams 2015