新兴领域:城市行动和无人驾驶飞机:基于NIST城市搜索和救援领域模拟的游戏引擎

Jijun Wang, M. Lewis, J. Gennari
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引用次数: 18

摘要

我们正在开发国家标准与技术研究所(NIST)自主移动机器人(城市搜索和救援)参考测试设施的交互式模拟。NIST USAR测试设施是一个标准化的灾难环境,由三种逐步困难的场景组成:黄色,橙色和红色竞技场。USAR的任务侧重于机器人的行为,以及与标准化但无序的碎石填充环境的物理交互。模拟将用于测试和评估远程操作界面和机器人传感与合作的设计,这些设计随后将被纳入实验机器人。本文描述了我们的新型仿真方法,使用廉价的游戏引擎快速构建单个机器人和机器人团队的视觉和动态精确仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging areas: urban operations and UCAVs: a game engine based simulation of the NIST urban search and rescue arenas
We are developing interactive simulations of the National Institute of Standards and Technology (NIST) Reference Test Facility for Autonomous Mobile Robots (Urban Search and Rescue). The NIST USAR Test Facility is a standardized disaster environment consisting of three scenarios of progressive difficulty: Yellow, Orange, and Red arenas. The USAR task focuses on robot behaviors, and physical interaction with standardized but disorderly rubble filled environments. The simulation will be used to test and evaluate designs for teleoperation interfaces and robot sensing and cooperation that will subsequently be incorporated into experimental robots. This paper describes our novel simulation approach using an inexpensive game engine to rapidly construct a visually and dynamically accurate simulation for both individual robots and robot teams.
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