AI 中文总结
报告设想无人机大规模运输货物等的未来，指出需弥合能力差距，确定了实现无人机技术变革潜力的十二个技术挑战及应对方法，为无人机技术发展规划了多方面的前进路径。
AI 中文摘要
本报告设想了一个无人机在规模上与高速公路和电网等国家基础设施投资相当，用于运输货物、医疗用品和信息的十年。潜在应用包括几分钟内就能发现野火源头的自然灾害探测无人机、绕过地面拥堵到达农村医院的医疗供应链以及持续检查桥梁和输电线的全国机群。然而，要实现这一未来，需要弥合作者所说的“能力差距”，即硬件和抱负超越了大规模安全运行所需的软件和系统。报告确定了实现无人机技术变革潜力必须解决的十二个技术挑战，包括扩展至数百万架无人机、人工智能智能与保障、边缘云连续体与实时协调等。这些挑战及应对方法构成了报告基础，为无人机技术发展指明了多方面的前进道路。
英文摘要
The report envisions a decade in which drones move goods, medical supplies, and information at a scale comparable to national infrastructure investments like highways and the electric grid. Potential applications include natural disaster detection drones that spot wildfire sources within minutes, medical supply chains that bypass ground congestion to reach rural hospitals, and nationwide fleets that continuously inspect bridges and power lines. Realizing this future, however, requires closing what report authors call a "capability gap," where hardware and aspirations are outpacing the software and systems needed to operate safely at scale. The report identifies twelve technical challenges that must be addressed to realize the transformative potential of drone technology: Scaling to millions of drones; AI intelligence and assurance; Edge-cloud continuum and real-time coordination; AI autonomy and agentic systems; Data, training, and validation infrastructure; Critical infrastructure protection; Building reliable fleets from non-deterministic agents; Trust, security, and distributed authentication; Next-generation drone networks; Human-AI partnership and scalable insight; Standards, certification, and regulation; and Workforce development and education. These twelve challenges and proposed approaches to them form the basis of the report, laying out a multifaceted path forward for the evolution of done technology.
