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arXiv 2506.08045cs.ROcs.AI

无人机遇见智能体AI:自主空中智能与智能体无人机的多领域综述

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs

Cornell University(康奈尔大学);University of the Peloponnese(希腊伯罗奔尼撒大学)

Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee

AI总结:

本文综述智能体无人机的架构、使能技术、七大应用领域、挑战与解决方案,并提出未来发展与治理路线图。

摘要:

智能体无人机代表了自主空中智能的新前沿,其融合感知、决策、记忆与协同规划,以在复杂的真实环境中自适应运行。在智能体AI最新进展的推动下,这些系统通过展现目标驱动行为、情境推理和交互式自主性,超越了传统无人机。我们为理解将智能体无人机与传统自主无人机区分开来的架构组件和使能技术提供了全面基础。此外,一项详细的比较分析突出了AI智能体、学习和任务灵活性在自主性方面的进展。本研究探讨了七个高影响力应用领域:精准农业、建筑与采矿、灾害响应、环境监测、基础设施巡检、物流、安全以及野生动物保护,阐明了智能体空中智能的广泛社会价值。此外,我们识别了技术约束、监管限制和数据-模型可靠性方面的关键挑战,并提出了横跨硬件创新、学习架构和人机-AI交互的新兴解决方案。最后,本文提出了一条未来路线图,勾勒了通向自进化空中生态系统、系统级协作以及可持续、公平部署的路径。本综述为智能体空中系统(智能体无人机)在各类社会和工业领域的未来开发、部署与治理建立了基础框架。

英文摘要:

Agentic UAVs represent a new frontier in autonomous aerial intelligence, integrating perception, decision-making, memory, and collaborative planning to operate adaptively in complex, real-world environments. Driven by recent advances in Agentic AI, these systems surpass traditional UAVs by exhibiting goal-driven behavior, contextual reasoning, and interactive autonomy. We provide a comprehensive foundation for understanding the architectural components and enabling technologies that distinguish Agentic UAVs from traditional autonomous UAVs. Furthermore, a detailed comparative analysis highlights advancements in autonomy with AI agents, learning, and mission flexibility. This study explores seven high-impact application domains precision agriculture, construction & mining, disaster response, environmental monitoring, infrastructure inspection, logistics, security, and wildlife conservation, illustrating the broad societal value of agentic aerial intelligence. Furthermore, we identify key challenges in technical constraints, regulatory limitations, and data-model reliability, and we present emerging solutions across hardware innovation, learning architectures, and human-AI interaction. Finally, a future roadmap is proposed, outlining pathways toward self-evolving aerial ecosystems, system-level collaboration, and sustainable, equitable deployments. This survey establishes a foundational framework for the future development, deployment, and governance of agentic aerial systems (Agentic UAVs) across diverse societal and industrial domains.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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