AIR Option 1: Technology Translation: Gliding Robotic Fish for Long-duration Sensing in Aquatic Environments

AIR选项1：技术转化：滑翔机器鱼在水生环境中进行长时间传感

• 批准号: 1343413
• 负责人: Xiaobo Tan
• 金额: $ 15万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2016-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1343413&HistoricalAwards=false
• 关键词: AIR; Option; Technology; Translation; Gliding

This PFI: AIR Technology Translation project focuses on translating the gliding robotic fish technology recently developed at Michigan State University to meet the market need for an inexpensive mobile sensing technology for various aquatic environments. The translated gliding robotic fish technology has the following unique features: low cost, compact size, high maneuverability, long operational duration, and adaptability to versatile applications. It provides exemplary advantages in performance, cost-effectiveness, and portability when compared to the leading competing technologies in this market place, including propeller-driven autonomous underwater vehicles (AUVs) and ocean gliders. The project accomplishes its goals by (1) developing a modularized payload architecture to facilitate convenient customization and cost-effective maintenance of the product, (2) developing a solar and wave-energy harvesting system to enable continuous, long-duration field operation, and (3) demonstrating a prototype of a gliding robotic fish incorporating these advances. The partnership engages the environmental monitoring industry and potential users of the technology to provide guidance in prototype development and market analysis as they pertain to the potential to translate the gliding robotic fish technology along a path that may result in a competitive commercial reality. The potential economic impact is expected to be over $200M for the next 15 years, which will contribute to the U.S. competitiveness in the autonomous underwater sensing market. The societal impact, long term, will be enhanced capabilities in monitoring water quality and aquatic ecosystems, in inspecting underwater structures such as subsea drilling infrastructure for the oil and gas industry, and in securing ports and maritime borders.

该PFI：空气技术翻译项目的重点是翻译密歇根州立大学最近开发的滑翔机器人鱼技术，以满足市场对各种水生环境的廉价移动传感技术的需求。翻译后的滑翔机器人鱼技术具有以下独特的功能：低成本，紧凑型，可操作性高，操作持续时间和对多功能应用的适应性。 与该市场中领先的竞争技术相比，它在绩效，成本效益和便携性方面具有示例性的优势，包括螺旋桨驱动的自动驾驶自动驾驶水下车辆（AUV）和海洋滑翔机。该项目通过（1）开发一个模块化的有效载荷体系结构来实现其目标，以促进产品的方便定制和具有成本效益的维护，（2）开发一个太阳能和波动能量收获系统，以启用连续的，长期的野外现场操作，（3）展示了将持续的机器人鱼类的原型结合到这些前进。该合作伙伴关系吸引了环境监测行业和该技术的潜在用户，以提供原型开发和市场分析的指导，因为它们与可能导致竞争性商业现实的路径相关的潜力将机器人鱼技术转换为可能。预计未来15年的潜在经济影响将超过2亿美元，这将有助于美国在自主水下感应市场中的竞争力。长期的社会影响将增强在监测水质和水生生态系统的能力，检查石油和天然气行业的海底钻井基础设施，以及保护港口和海上边界等水下结构。