CCRI: Planning: Infrastructure for Collaborative Autonomy Testing

CCRI：规划：协作自主测试基础设施

• 批准号: 2120437
• 负责人: Jeffrey Herrmann
• 金额: $ 10万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120437&HistoricalAwards=false
• 关键词: CCRI; Planning; Infrastructure; Collaborative; Autonomy

Teams of autonomous ground robots and unmanned vehicles will be used in missions such as search-and-rescue, mining, material handling, and protecting secure facilities. Computer scientists and engineers are inventing and enhancing new algorithms that these autonomous systems will use to collaborate with each other. Better algorithms will improve team performance. Currently, testing such algorithms requires extensive time and resources to setup and run simulation models and other facilities that are needed for test and evaluation, validation and verification. This project will lay the foundation for a modeling and simulation infrastructure that will reduce barriers to research and development of autonomous systems and will enable collaboration in this important research area. This will accelerate the implementation of these systems that will have numerous benefits to society.This project will plan a community research infrastructure. The planning process will include a broad-based community of researchers from multiple institutions, including experts in robotics systems, modeling and simulation, test & evaluation, and software engineering, and will engage them in multiple ways. The planning group will develop use cases, design the infrastructure architecture, and identify key partners. A broader group will provide input via a survey and a workshop at a robotics conference. The ultimate deliverable of this planning project will be a proposal to be submitted in January 2022. The infrastructure will include hardware, software, APIs, user interfaces, libraries of models, a development and testing environment, and documentation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

自主地面机器人和无人驾驶车辆团队将用于搜索和救援、采矿、材料处理和保护安全设施等任务。计算机科学家和工程师正在发明和改进新的算法，这些自动系统将使用这些算法相互协作。更好的算法将提高团队绩效。目前，测试这样的算法需要大量的时间和资源来建立和运行仿真模型以及测试和评估、验证和验证所需的其他设施。该项目将为建模和仿真基础设施奠定基础，这将减少自主系统研发的障碍，并将促进这一重要研究领域的合作。这将加速这些制度的实施，给社会带来许多好处。该项目将规划一个社区研究基础设施。规划过程将包括来自多个机构的广泛的研究人员社区，包括机器人系统、建模和仿真、测试和评估以及软件工程方面的专家，并将以多种方式吸引他们。计划小组将开发用例，设计基础架构，并确定关键的合作伙伴。一个更广泛的团体将通过调查和机器人会议的研讨会提供意见。该规划项目的最终成果将是2022年1月提交的一份提案。基础设施将包括硬件、软件、api、用户界面、模型库、开发和测试环境以及文档。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。