Agent-Development Framework Based on Modular Structure to Research Disaster-Relief Activities

Author:

Takami Shunki1,Takayanagi Kazuo2,Jaishy Shivashish2,Ito Nobuhiro2,Iwata Kazunori3

Affiliation:

1. University of Tsukuba, Tsukuba, Japan

2. Aichi Institute of Technology, Toyota, Japan

3. Department of Business Administration, Aichi University, Nagoya, Japan

Abstract

This article describes approaches to the RoboCup Rescue Simulation league which is a part of the response to recent large-scale natural disasters. In particular, the project provides a platform for studying disaster-relief agents and simulations. The aim of the project is to contribute to society is by making widely available the findings our research into disaster relief. Some disaster-relief agents contain excellent algorithm modules, which should ideally be shareable among developers. However, this is hindered when the program structure of the agents are different among different teams. Therefore, this article designs and implements a modular agent-development framework that unifies the structure within RoboCup Rescue Simulation agents to facilitate such technical exchange.

Publisher

IGI Global

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Science Applications,Software

Reference14 articles.

1. Robocup rescue robot and simulation leagues. Vol. 38.;H. L.Akin;AI Magazine,2013

2. RT-middleware: distributed component middleware for RT (robot technology)

3. ECMA. (2013, October). The JSON data interchange format (1st Edition ed.; Tech. Rep. No. Standard ECMA-404). Retrieved September 2, 2017, from http://www.ecma-international.org/publications/files/ECMA-ST/ECMA-404.pdf

4. Faraji, F., Nardin, L. G., Modaresi, A., Helal, D., Iwata, K., & Ito, N. (2017). Robocup Rescue Simulation League Agent 2017 Competition Rules and Setup. Retrieved September 2, 2017, from http://roborescue.sourceforge.net/web/2017/downloads/rules2017.pdf

5. Robocup rescue: A grand challenge for multiagent and intelligent systems.;H.Kitano;AI Magazine,2001

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Disaster Response Simulation as a Testbed for Multi-Agent Systems;Multi-Agent Systems and Agreement Technologies;2020

2. Infrastructure in Assessing Disaster-Relief Agents in the RoboCupRescue Simulation;Computational Science/Intelligence and Applied Informatics;2019-07-26

3. An Environment for Combinatorial Experiments in a Multi-agent Simulation for Disaster Response;Lecture Notes in Computer Science;2018

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