Effective Fusion of Disaster-Relief Agent in RoboCupRescue Simulation

Taishun Kusaka, Yukinobu Miyamoto, Akira Hasegawa, Shunki Takami, K. Iwata, N. Ito
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Abstract

The RoboCupRescue Simulation project is one of the responses to recent large-scale natural disasters. In particular, the project provides a platform for studying disaster-relief agents and simulations. We designed and implemented an agent based on the results of a combinational experiment of various modules taken from teams that participated at RoboCup 2017. We developed a new fusional agent with better modules in the Agent Development Framework. This paper presents the results of the combination experiment in detail. We confirm that our fusional agent based on the experimental results obtained a better score than the champion agent at RoboCup 2017.
RoboCupRescue仿真中救灾Agent的有效融合
RoboCupRescue模拟项目是对近期大规模自然灾害的回应之一。特别是,该项目提供了一个研究灾害救济剂和模拟的平台。我们根据参加2017年机器人世界杯的团队的各种模块的组合实验结果设计并实现了一个代理。我们在agent开发框架中开发了一个具有更好模块的新型融合agent。本文详细介绍了组合实验的结果。根据实验结果,我们确认我们的融合智能体在2017年机器人世界杯上取得了比冠军智能体更好的成绩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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