Masayuki Ohta

Agent Based Approach in Disaster Rescue Simulation - From Test-Bed of Multiagent System to Practical Application

We apply multi-agent approach to search and rescue in a large-scale domain. The simulator is designed to simulate various domain specific simulation and human behaviors. Kobe-Awaji earthquake data is used as disaster scenarios and a prototype system was made open at RoboCup 2000. A rescue team composed of heterogeneous agents, - fire brigades, ambulances, and polices -, takes active part in the disastrous situation where about 100 civilian agents move autonomously. By comparing with rescue operations of two teams, we showed that the search and rescue in disasters can be used as a test-bed for multi-agent systems. The comparing experiments made clear that rescue task is not well defined in spite of its practical importance, and planning based on multi-perspectives on disaster losses is necessary. It points that the rescue problem is not only a test-bed for multi-agent system but also for laboratory work for practical system.

Design and implementation of the kernel and agents for the RoboCup-Rescue

As a new branch of RoboCup, RoboCup-Rescue has been proposed, which simulates and evaluates real time multi-agent cooperative rescue activities in a disaster. The paper describes our prototype design and implementation of the RoboCup-Rescue Simulation System, and illustrates some prototypical agents running on this system.

A design of rescue agents for robocup-rescue

The RoboCup-Rescue project [1] was proposed, that aims at disaster mitigation, and we implemented a simulation system for it. The image of the system is shown in Figure:1. Making agents that maximize the rescue activity in this simulation system provides new problem domains compare to the Soccer Server [2], such as, cooperation between heterogeneous agent, dynamic planning reorganization and more strict limitation of sensor information.