RMASBench: a benchmarking system for multi-agent
coordination in urban search and rescue
RMASBench: a benchmarking system for multi-agent
coordination in urban search and rescue
This demonstration paper illustrates RMASBench, a new benchmarking system based on the RoboCup Rescue Agent simulator. The aim of the system is to facilitate benchmarking of coordination approaches in controlled settings for dynamic rescue scenario. In particular, the key features of the systems are: i) programming interfaces to plug-in coordination algorithms without the need for implementing and tuning low-level agents’ behaviors, ii) implementations of state-of-the art coordination approaches: DSA and MaxSum, iii) a large scale crowd simulator, which exploits GPUs parallel architecture, to simulate the behaviour of thousands of agents in real time.
Kleiner, Alexander
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Farinelli, Alessandro
1d096018-a929-4ff4-9b2a-308458863213
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Shi, Bing
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Mafioletti, Fabio
2decc873-4ccf-4873-8760-4c6edf61ad9e
Refatto, Riccardo
94fb88dd-f7d0-4a41-a35c-d95e53a50c9c
7 May 2013
Kleiner, Alexander
13bfb01e-90c0-400a-924e-64b4ccb00620
Farinelli, Alessandro
1d096018-a929-4ff4-9b2a-308458863213
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Shi, Bing
62e2a794-c690-45cc-8da6-993a75ecff7e
Mafioletti, Fabio
2decc873-4ccf-4873-8760-4c6edf61ad9e
Refatto, Riccardo
94fb88dd-f7d0-4a41-a35c-d95e53a50c9c
Kleiner, Alexander, Farinelli, Alessandro, Ramchurn, Sarvapali, Shi, Bing, Mafioletti, Fabio and Refatto, Riccardo
(2013)
RMASBench: a benchmarking system for multi-agent
coordination in urban search and rescue.
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2013), Saint Paul, United States.
06 - 10 May 2013.
Record type:
Conference or Workshop Item
(Poster)
Abstract
This demonstration paper illustrates RMASBench, a new benchmarking system based on the RoboCup Rescue Agent simulator. The aim of the system is to facilitate benchmarking of coordination approaches in controlled settings for dynamic rescue scenario. In particular, the key features of the systems are: i) programming interfaces to plug-in coordination algorithms without the need for implementing and tuning low-level agents’ behaviors, ii) implementations of state-of-the art coordination approaches: DSA and MaxSum, iii) a large scale crowd simulator, which exploits GPUs parallel architecture, to simulate the behaviour of thousands of agents in real time.
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Published date: 7 May 2013
Venue - Dates:
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2013), Saint Paul, United States, 2013-05-06 - 2013-05-10
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 350678
URI: http://eprints.soton.ac.uk/id/eprint/350678
PURE UUID: c84a21f3-0ea4-4930-856e-dfeb6914d2c4
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Date deposited: 08 Apr 2013 13:46
Last modified: 15 Mar 2024 03:22
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Contributors
Author:
Alexander Kleiner
Author:
Alessandro Farinelli
Author:
Sarvapali Ramchurn
Author:
Bing Shi
Author:
Fabio Mafioletti
Author:
Riccardo Refatto
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