RMASBench: a benchmarking system for multi-agent coordination in urban search and rescue

Authors:
Fabio Maffioletti;Riccardo Reffato;Alessandro Farinelli;Alexander Kleiner;Sarvapali Ramchurn;Bing Shi
Affiliations:
University of Verona, Verona, Italy;University of Verona, Verona, Italy;University of Verona, Verona, Italy;Linköping University, Linköping, Sweden;University of Southampton, Southampton, United Kingdom;Wuhan University of Technology, Wuhan, China
Venue:
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Year:
2013

Citing 4
Cited 0

Decentralised coordination of low-power embedded devices using the max-sum algorithm

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
The RoboCup rescue simulation platform

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
CUDA by Example: An Introduction to General-Purpose GPU Programming

CUDA by Example: An Introduction to General-Purpose GPU Programming
The multi-agent programming contest 2011: a résumé

ProMAS'11 Proceedings of the 9th international conference on Programming Multi-Agent Systems

Quantified Score

Hi-index	0.00

Visualization

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 scenarios. 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.